1 00:00:00,160 --> 00:00:03,040 Speaker 1: This is Dana Perkins and you're listening to Switched on, 2 00:00:03,400 --> 00:00:06,840 Speaker 1: the podcast brought to you by BNF. Today, we're here 3 00:00:06,880 --> 00:00:10,400 Speaker 1: to talk about the existing and emerging technology solutions to 4 00:00:10,480 --> 00:00:15,160 Speaker 1: address water stress. According to the Intergovernmental Panel on Climate Change, 5 00:00:15,240 --> 00:00:18,960 Speaker 1: anywhere between one point five to two point five billion 6 00:00:19,040 --> 00:00:23,119 Speaker 1: people live in areas exposed to water stress today. This 7 00:00:23,239 --> 00:00:26,520 Speaker 1: is forecasted to rise to three billion by twenty fifty, 8 00:00:26,560 --> 00:00:29,280 Speaker 1: and that's only if warming is limited to two degrees 9 00:00:29,320 --> 00:00:31,800 Speaker 1: c by that point. Humans are made up of roughly 10 00:00:31,840 --> 00:00:34,600 Speaker 1: sixty percent water, so to say that its essential would 11 00:00:34,600 --> 00:00:39,240 Speaker 1: be an understatement. And we live on an increasingly thirsty planet, 12 00:00:39,360 --> 00:00:42,680 Speaker 1: not just due to population growth and demands from agriculture, 13 00:00:42,720 --> 00:00:47,720 Speaker 1: but also owing to increasing demand from industry and data centers. Yes, 14 00:00:47,800 --> 00:00:51,440 Speaker 1: the same data centers that are needed to power AI technology. 15 00:00:51,720 --> 00:00:54,800 Speaker 1: So where do we get more water? From energy intensive 16 00:00:54,840 --> 00:00:59,120 Speaker 1: desalination plants to reducing water loss, to increasing water reuse 17 00:00:59,200 --> 00:01:02,720 Speaker 1: and recycling. We'll get into the technology side of this 18 00:01:02,840 --> 00:01:05,840 Speaker 1: essential building block for life on this planet. I'm joined 19 00:01:05,880 --> 00:01:10,080 Speaker 1: today by b and EF technology and innovation analyst Stephanie Diaz, 20 00:01:10,200 --> 00:01:13,800 Speaker 1: who shares findings from her recently released research note titled 21 00:01:13,880 --> 00:01:18,080 Speaker 1: tech Radar Water supply use and Treatment. Bn EF clients 22 00:01:18,120 --> 00:01:20,280 Speaker 1: will be able to find this at BNOF go on 23 00:01:20,280 --> 00:01:23,040 Speaker 1: the Bloomberg terminal or at BNF dot com. All right, 24 00:01:23,160 --> 00:01:35,480 Speaker 1: let's get to talking about water. Stephanie, thank you for 25 00:01:35,560 --> 00:01:36,160 Speaker 1: joining today. 26 00:01:36,280 --> 00:01:37,240 Speaker 2: Thanks for having me, Dana. 27 00:01:37,480 --> 00:01:40,640 Speaker 1: So we're here to talk about water today, and we 28 00:01:40,720 --> 00:01:44,160 Speaker 1: know that this has so many important applications in addition 29 00:01:44,280 --> 00:01:48,040 Speaker 1: to what we drink and agriculture. But actually, as we 30 00:01:48,080 --> 00:01:50,480 Speaker 1: so often talk about in the show, the energy transition 31 00:01:50,880 --> 00:01:53,480 Speaker 1: is actually quite dependent upon water. We'll get to the 32 00:01:53,560 --> 00:01:57,000 Speaker 1: demand side part of it momentarily, but as we tend 33 00:01:57,040 --> 00:01:59,240 Speaker 1: to kick off many of these shows, let's start with 34 00:01:59,240 --> 00:02:02,200 Speaker 1: some definitions and then also as we think about the 35 00:02:02,240 --> 00:02:07,240 Speaker 1: fact that with climate change there is disruption to traditional 36 00:02:07,480 --> 00:02:10,960 Speaker 1: precipitation patterns, what is the definition of water stress? 37 00:02:11,280 --> 00:02:15,040 Speaker 2: Sure, but let's start by actually talking about water itself, right, 38 00:02:15,120 --> 00:02:18,919 Speaker 2: because water is really ubiquitous in everyday life. It's really 39 00:02:18,960 --> 00:02:20,840 Speaker 2: an amazing thing for a modern miracle that we can 40 00:02:20,919 --> 00:02:22,480 Speaker 2: just go to the tap and turn on our water. 41 00:02:22,680 --> 00:02:24,920 Speaker 2: But really what that ends up meaning in practice is 42 00:02:24,919 --> 00:02:28,520 Speaker 2: that we use an estimated four trillion cubic meters of 43 00:02:28,560 --> 00:02:31,080 Speaker 2: water annually. And most of this is coming from things 44 00:02:31,120 --> 00:02:34,880 Speaker 2: like rainfall, snowmells, river runoff, and we collect it from 45 00:02:35,040 --> 00:02:38,120 Speaker 2: surface water and groundwater, so think lakes, rivers, and aquifers. 46 00:02:38,240 --> 00:02:41,120 Speaker 2: These together account for ninety two percent of human water use, 47 00:02:41,240 --> 00:02:43,600 Speaker 2: and all of this water gets used in a couple 48 00:02:43,600 --> 00:02:46,200 Speaker 2: of different ways. About three quarters of that goes into 49 00:02:46,200 --> 00:02:50,720 Speaker 2: the agriculture sector, so think crops, livestock, aquaculture, and then 50 00:02:50,760 --> 00:02:54,840 Speaker 2: the remainder gets used for industrial or municipal purposes. So 51 00:02:55,360 --> 00:02:58,040 Speaker 2: when we talk about water stress, what we're actually talking 52 00:02:58,080 --> 00:03:02,520 Speaker 2: about is does the water demand outpace the supply. This 53 00:03:02,560 --> 00:03:06,240 Speaker 2: is a really localized definition because water is a really 54 00:03:06,280 --> 00:03:09,040 Speaker 2: regional thing. But what you should think about is between 55 00:03:09,280 --> 00:03:11,960 Speaker 2: the water that gets used for human purposes, the water 56 00:03:12,000 --> 00:03:14,280 Speaker 2: that needs to be there to in order to replenish rivers, 57 00:03:14,280 --> 00:03:16,640 Speaker 2: in order to you know, water forests, be used by 58 00:03:16,639 --> 00:03:19,960 Speaker 2: the environment. All of that, does that water demand surpass 59 00:03:20,080 --> 00:03:22,919 Speaker 2: the amount of water that is available in that area 60 00:03:23,000 --> 00:03:26,400 Speaker 2: for things like precipitation, groundwater, all of that. We are 61 00:03:26,480 --> 00:03:30,600 Speaker 2: increasingly seeing that water stress is becoming a pertinent issue 62 00:03:30,639 --> 00:03:33,400 Speaker 2: around the world. So today about one point five to 63 00:03:33,400 --> 00:03:36,160 Speaker 2: two point five billion people live in areas exposed to 64 00:03:36,200 --> 00:03:40,440 Speaker 2: water scarcity, and under a two degrees celsius scenario of 65 00:03:40,560 --> 00:03:43,840 Speaker 2: global warming that's expected to rise to approximately three billion 66 00:03:43,880 --> 00:03:46,880 Speaker 2: people by twenty fifty, demand for fresh water could be 67 00:03:46,960 --> 00:03:49,680 Speaker 2: up to forty percent greater than supply by twenty thirty, 68 00:03:49,720 --> 00:03:52,600 Speaker 2: according to the Global Commission on the Economics of Water. 69 00:03:53,000 --> 00:03:57,080 Speaker 1: So now let's pivot to the demand side part of things, 70 00:03:57,160 --> 00:03:59,720 Speaker 1: which has to do with this wider question of you know, 71 00:03:59,760 --> 00:04:02,640 Speaker 1: water for a lot of the end uses that you know, 72 00:04:02,680 --> 00:04:05,400 Speaker 1: we do traditionally talk about here at BNF, Can you 73 00:04:05,480 --> 00:04:08,360 Speaker 1: talk about some of the sectors that maybe many we've 74 00:04:08,360 --> 00:04:10,320 Speaker 1: thought of or some that we haven't thought of, that 75 00:04:10,440 --> 00:04:13,840 Speaker 1: are really heavily dependent upon this natural resource. 76 00:04:14,120 --> 00:04:17,680 Speaker 2: Yeah, I mean there are so many examples. Let's talk agriculture. 77 00:04:18,120 --> 00:04:20,800 Speaker 2: It's kind of a given that water is important for agriculture, 78 00:04:20,800 --> 00:04:23,400 Speaker 2: but we often don't think about this implicit water trade 79 00:04:23,400 --> 00:04:25,560 Speaker 2: that is happening in crop production. So, just to give 80 00:04:25,600 --> 00:04:29,240 Speaker 2: an example, Fondamonte is an agriculture company and it grows 81 00:04:29,279 --> 00:04:32,560 Speaker 2: alfalfa in the US state of Arizona, and that alfalfa 82 00:04:32,600 --> 00:04:35,159 Speaker 2: is then harvested and shipped back to Saudi Arabia to 83 00:04:35,200 --> 00:04:38,039 Speaker 2: feed cattle there. The company turned to Arizona because of 84 00:04:38,080 --> 00:04:40,760 Speaker 2: water scarcity issues in Saudi Arabia and the ability to 85 00:04:40,800 --> 00:04:44,040 Speaker 2: grow you around in Arizona, but Arizona itself is a 86 00:04:44,080 --> 00:04:48,720 Speaker 2: hot desert state. Water also has implications for the energy sector. 87 00:04:48,880 --> 00:04:52,039 Speaker 2: French company EDF had to reduce output of several of 88 00:04:52,080 --> 00:04:54,800 Speaker 2: its nuclear power plants in twenty twenty two as heat 89 00:04:54,800 --> 00:04:57,640 Speaker 2: waves made the river water that's usually used to cool 90 00:04:57,680 --> 00:05:00,640 Speaker 2: those nuclear power plants too warm. They had to reduce 91 00:05:00,680 --> 00:05:03,880 Speaker 2: their output as a result. It has impacts on mining 92 00:05:04,000 --> 00:05:07,039 Speaker 2: because water is used in querying and milling, and the 93 00:05:07,080 --> 00:05:10,280 Speaker 2: amount of water used for those processes can put stress 94 00:05:10,320 --> 00:05:13,320 Speaker 2: on local water supplies. In Mexico, Group of Mexicos, Buena 95 00:05:13,400 --> 00:05:16,359 Speaker 2: Vista del Cobre Mine dealt with protests in June twenty 96 00:05:16,440 --> 00:05:19,200 Speaker 2: twenty four as the company was issued permits entitling it 97 00:05:19,240 --> 00:05:21,960 Speaker 2: to more than fifty billion liters of water annually, which 98 00:05:22,000 --> 00:05:25,440 Speaker 2: is fifty seven percent of that local watershed's volume, even 99 00:05:25,480 --> 00:05:28,800 Speaker 2: though that area is experiencing a regional drought. You have 100 00:05:29,080 --> 00:05:32,120 Speaker 2: examples across you know, thermal power plants that use up 101 00:05:32,160 --> 00:05:34,719 Speaker 2: to three thousand liters of water per megawat hour for 102 00:05:34,800 --> 00:05:37,440 Speaker 2: cooling the steel industry consumes up to one hundred and 103 00:05:37,480 --> 00:05:40,360 Speaker 2: seventy five liters of water per ton of steel produce. 104 00:05:40,600 --> 00:05:43,359 Speaker 2: Water ends up being used throughout so many of the 105 00:05:43,440 --> 00:05:46,200 Speaker 2: different industries that we cover here at BENF, So. 106 00:05:46,600 --> 00:05:49,440 Speaker 1: We could go in so many different directions when we're 107 00:05:49,440 --> 00:05:52,560 Speaker 1: thinking about end uses and demand side for water. But 108 00:05:52,640 --> 00:05:55,719 Speaker 1: let's focus in on one that has been incredibly buzzy lately, 109 00:05:55,800 --> 00:05:58,440 Speaker 1: and that is data centers and the growth of data 110 00:05:58,480 --> 00:06:03,760 Speaker 1: centers in some respects to this rise in AI applications 111 00:06:03,800 --> 00:06:06,960 Speaker 1: that are really leading to a lot more demand for 112 00:06:07,000 --> 00:06:10,000 Speaker 1: electricity in order to keep these data centers cool. Can 113 00:06:10,040 --> 00:06:14,760 Speaker 1: you talk about how water is connected to this burgeoning 114 00:06:14,800 --> 00:06:15,600 Speaker 1: space right now? 115 00:06:15,839 --> 00:06:19,320 Speaker 2: Data centers and AI are actually surprisingly dependent on water 116 00:06:19,400 --> 00:06:21,680 Speaker 2: in two ways. So let's talk about the first one, 117 00:06:21,680 --> 00:06:24,160 Speaker 2: which is cooling. So think of your laptop. When you 118 00:06:24,279 --> 00:06:26,560 Speaker 2: run it for a long period of time, it gets warm, right. 119 00:06:26,640 --> 00:06:28,800 Speaker 2: Data centers do the same thing. They get warm over time, 120 00:06:28,960 --> 00:06:31,920 Speaker 2: and water based cooling systems are often used in order 121 00:06:31,960 --> 00:06:34,520 Speaker 2: to take that heat away from the data centers and 122 00:06:34,640 --> 00:06:38,400 Speaker 2: keep them cool. This is a really energy efficient way 123 00:06:38,480 --> 00:06:40,279 Speaker 2: to do this, but it does mean that a lot 124 00:06:40,279 --> 00:06:43,640 Speaker 2: of water can get consumed in Virginia's Data Center Alley, 125 00:06:43,640 --> 00:06:46,799 Speaker 2: which is just outside of Washington, DC. Companies like Amazon 126 00:06:46,800 --> 00:06:49,760 Speaker 2: and Microsoft used one point nine billion gallons of water 127 00:06:49,839 --> 00:06:52,760 Speaker 2: in twenty twenty three, a sixty four percent increase since 128 00:06:52,800 --> 00:06:55,760 Speaker 2: twenty nineteen. The second way in which data centers and 129 00:06:55,880 --> 00:06:59,359 Speaker 2: AI are dependent on water is through semiconductors themselves. So 130 00:06:59,360 --> 00:07:01,640 Speaker 2: the chips that go into these data centers. In order 131 00:07:01,680 --> 00:07:04,479 Speaker 2: to create these chips, you need really pure water, like 132 00:07:04,720 --> 00:07:07,080 Speaker 2: ultra pure water. This is water that is so pure 133 00:07:07,160 --> 00:07:09,600 Speaker 2: that it would actually kill us humans if we drink it. 134 00:07:09,680 --> 00:07:11,760 Speaker 2: But this is the kind of extremely pure water that 135 00:07:11,800 --> 00:07:14,960 Speaker 2: is necessary for the chips because they're working on the 136 00:07:15,000 --> 00:07:18,960 Speaker 2: scale of nanometers right. In order to produce these sort 137 00:07:19,000 --> 00:07:22,120 Speaker 2: of chips, you need access to really clean water, and 138 00:07:22,160 --> 00:07:24,880 Speaker 2: as a result, they end up consuming a lot of water. 139 00:07:24,920 --> 00:07:27,880 Speaker 2: According to the World Economic Forum, forty percent of semiconductor 140 00:07:27,960 --> 00:07:32,000 Speaker 2: manufacturing facilities are in watersheds expected to face severe water 141 00:07:32,040 --> 00:07:34,880 Speaker 2: stress between twenty thirty and twenty forty. And now I 142 00:07:34,920 --> 00:07:37,360 Speaker 2: want you to add to this another twenty four to 143 00:07:37,440 --> 00:07:40,120 Speaker 2: forty percent of facilities that are currently under constructed, and 144 00:07:40,160 --> 00:07:43,040 Speaker 2: then another forty percent of facilities that are currently planned 145 00:07:43,080 --> 00:07:46,119 Speaker 2: and underway that will also be located in severe water 146 00:07:46,120 --> 00:07:49,280 Speaker 2: stress areas. So when taken altogether, you can really see 147 00:07:49,280 --> 00:07:52,080 Speaker 2: how data centers ai big technique to be thinking more 148 00:07:52,120 --> 00:07:54,680 Speaker 2: about their water usage. A great example of this is 149 00:07:54,680 --> 00:07:58,200 Speaker 2: how in Chile recently a court partially reversed approval for 150 00:07:58,240 --> 00:08:01,760 Speaker 2: a two hundred million dollars Google data center projects, citing 151 00:08:01,800 --> 00:08:04,840 Speaker 2: that the company needed to go back and reconsider its 152 00:08:04,880 --> 00:08:07,240 Speaker 2: water use. This is after the data center had already 153 00:08:07,280 --> 00:08:10,040 Speaker 2: announced that it was going to switch from water based 154 00:08:10,040 --> 00:08:13,680 Speaker 2: cooling to the less water intensive want more energy intensive 155 00:08:13,720 --> 00:08:16,800 Speaker 2: air based cooling, and we've seen companies like Microsoft and 156 00:08:16,840 --> 00:08:20,680 Speaker 2: AWS commit to being water positive and aiming to replenish 157 00:08:20,720 --> 00:08:22,800 Speaker 2: more water than they use by twenty thirty. 158 00:08:23,160 --> 00:08:25,280 Speaker 1: Now, I think a lot of people understand that water 159 00:08:25,360 --> 00:08:28,080 Speaker 1: needs to be processed before it can be used, especially 160 00:08:28,240 --> 00:08:30,480 Speaker 1: well depending upon where it came from. But can you 161 00:08:30,600 --> 00:08:34,439 Speaker 1: just actually explain what ultra pure water is and why 162 00:08:34,520 --> 00:08:35,960 Speaker 1: it's deadly for humans. 163 00:08:36,360 --> 00:08:39,640 Speaker 2: So water needs to be processed to the level of 164 00:08:39,679 --> 00:08:42,760 Speaker 2: purity required for what people what it's being used for. 165 00:08:42,880 --> 00:08:46,000 Speaker 2: So take humans. We need to drink clean water, right, 166 00:08:46,000 --> 00:08:49,360 Speaker 2: but we actually don't need to drink perfectly pure water 167 00:08:49,480 --> 00:08:52,360 Speaker 2: because there's actually useful stuff in water. Water contains minerals 168 00:08:52,360 --> 00:08:53,880 Speaker 2: that are one of the ways we get them as 169 00:08:53,920 --> 00:08:56,240 Speaker 2: part of like a nutritional basis. If you drink ultra 170 00:08:56,320 --> 00:08:59,240 Speaker 2: pure water, it's too pure for our bodies and so 171 00:08:59,280 --> 00:09:01,640 Speaker 2: then our red blood cells end up rupturing because the 172 00:09:01,679 --> 00:09:03,960 Speaker 2: water wants to like even out the concentration. 173 00:09:04,240 --> 00:09:06,120 Speaker 1: I know this is not related to the energy system, 174 00:09:06,120 --> 00:09:09,959 Speaker 1: but I just I had to understand that. Okay. Another 175 00:09:10,240 --> 00:09:13,040 Speaker 1: form of water, since we're using this term very colloquially, 176 00:09:13,240 --> 00:09:16,880 Speaker 1: is salt water, and desalination is a technology that has 177 00:09:16,920 --> 00:09:20,360 Speaker 1: been used in order to remove salt from water to 178 00:09:20,480 --> 00:09:22,640 Speaker 1: make it to the level of purity that we can 179 00:09:22,760 --> 00:09:25,320 Speaker 1: use it for other use cases. Can you talk about 180 00:09:25,480 --> 00:09:28,760 Speaker 1: desalination whether or not that for regions that may be 181 00:09:28,880 --> 00:09:32,960 Speaker 1: experiencing water stress, is desalination something that is becoming a 182 00:09:33,240 --> 00:09:34,600 Speaker 1: more popular technology. 183 00:09:34,840 --> 00:09:38,800 Speaker 2: Desalination is currently responsible for producing about two percent of 184 00:09:38,840 --> 00:09:42,520 Speaker 2: our global water global freshwater, that is, and while it's 185 00:09:42,559 --> 00:09:46,120 Speaker 2: only two percent globally, in water stress regions like the 186 00:09:46,200 --> 00:09:49,320 Speaker 2: Middle East, it is much higher than that. Saudi Arabia, 187 00:09:49,360 --> 00:09:52,599 Speaker 2: for example, relies on desalination for seventy percent of its freshwater, 188 00:09:52,720 --> 00:09:55,240 Speaker 2: and Kuwait relies on it for ninety percent of its 189 00:09:55,240 --> 00:09:58,880 Speaker 2: fresh water. So desalination can play a massive rule in 190 00:09:58,920 --> 00:10:02,160 Speaker 2: specific regions based on how localized that water stress is. 191 00:10:02,320 --> 00:10:05,160 Speaker 2: Desalination itself is a really mature technology. We've been doing 192 00:10:05,240 --> 00:10:08,319 Speaker 2: this for a long time now. There are currently about 193 00:10:08,480 --> 00:10:12,440 Speaker 2: fifteen thousand existing facilities globally that produce ninety five million 194 00:10:12,480 --> 00:10:15,040 Speaker 2: cubic meters of fresh water per day, but this is 195 00:10:15,200 --> 00:10:20,040 Speaker 2: expected to grow over time. The International Energy Agency expects 196 00:10:20,120 --> 00:10:23,839 Speaker 2: that energy demand for desalination is set to double by 197 00:10:23,880 --> 00:10:27,720 Speaker 2: twenty thirty from twenty twenty three levels, reaching nearly four 198 00:10:27,760 --> 00:10:30,360 Speaker 2: thousand Petta Rules of energy by the end of the decade. 199 00:10:30,440 --> 00:10:32,400 Speaker 2: Just to give a sense of scale, that's roughly the 200 00:10:32,520 --> 00:10:36,280 Speaker 2: energy consumption of Poland in twenty twenty three. So desalination 201 00:10:36,480 --> 00:10:39,920 Speaker 2: is a mature technology and it is definitely widely used 202 00:10:39,920 --> 00:10:41,720 Speaker 2: in some parts of the world, but not in all 203 00:10:41,760 --> 00:10:42,240 Speaker 2: of the world. 204 00:10:42,440 --> 00:10:45,480 Speaker 1: Are there innovations being made in the desalination space or 205 00:10:45,520 --> 00:10:46,840 Speaker 1: is it just becoming more prevalent. 206 00:10:47,080 --> 00:10:50,680 Speaker 2: Technologies for desalination are getting better. We've seen, for example, 207 00:10:50,760 --> 00:10:54,280 Speaker 2: that originally desalination was mostly done through multi stage flash 208 00:10:54,320 --> 00:10:57,080 Speaker 2: and multi effect distillation, which are both thermal methods of 209 00:10:57,120 --> 00:10:59,720 Speaker 2: removing salt fur water. Basically, the idea there is you 210 00:10:59,760 --> 00:11:03,160 Speaker 2: take water salty water, you evaporate it, and the salt 211 00:11:03,200 --> 00:11:05,600 Speaker 2: gets left behind, but the water becomes a gas. You 212 00:11:05,600 --> 00:11:07,800 Speaker 2: collect the gas and then you condense it so that 213 00:11:07,840 --> 00:11:10,440 Speaker 2: you have liquid water. Again. This is a really good 214 00:11:10,440 --> 00:11:13,880 Speaker 2: way of creating clean water, but it's also really energy intensive, 215 00:11:14,000 --> 00:11:17,199 Speaker 2: and so we saw the switch from these thermal methods 216 00:11:17,200 --> 00:11:21,199 Speaker 2: to using reverse osmosis instead. Reverse osmosis accounts for more 217 00:11:21,240 --> 00:11:24,120 Speaker 2: than two thirds of desalination capacity around the world today, 218 00:11:24,240 --> 00:11:26,720 Speaker 2: and the idea behind reverse osmosis is that you have 219 00:11:26,760 --> 00:11:29,760 Speaker 2: a semi permeable membrane and all that means is that 220 00:11:29,800 --> 00:11:33,160 Speaker 2: this membrane lets water through but not salt. And so 221 00:11:33,280 --> 00:11:36,120 Speaker 2: you push the salty water against this membrane and the 222 00:11:36,160 --> 00:11:38,120 Speaker 2: water gets pushed through, but a lot of the salt 223 00:11:38,120 --> 00:11:40,840 Speaker 2: stays behind. This is the most common method used today 224 00:11:40,920 --> 00:11:43,800 Speaker 2: and partly because it requires less energy to produce that 225 00:11:43,840 --> 00:11:46,800 Speaker 2: fresh water. But there are still new methods of desalination 226 00:11:47,080 --> 00:11:54,880 Speaker 2: being explored, such as electrodialysis, capacitive deionization, and humidification dehumidification cycling. 227 00:11:54,960 --> 00:11:56,959 Speaker 2: The idea behind these newer methods is that they're all 228 00:11:57,000 --> 00:11:59,720 Speaker 2: looking for ways to lower the energy demand of desalination 229 00:12:00,160 --> 00:12:02,280 Speaker 2: and turn could lower the cost of water production. 230 00:12:02,559 --> 00:12:04,280 Speaker 1: So I'm glad you brought that up. How much does 231 00:12:04,280 --> 00:12:04,760 Speaker 1: it cost? 232 00:12:05,120 --> 00:12:08,960 Speaker 2: Yeah, so the cheapest desalinated water you can find in 233 00:12:09,000 --> 00:12:11,319 Speaker 2: the world would be in Saudi Arabia, where you can 234 00:12:11,360 --> 00:12:14,640 Speaker 2: get it at less than fifty cents per cubic meter. 235 00:12:14,920 --> 00:12:18,080 Speaker 2: Everywhere else in the world has more expensive desalinated water 236 00:12:18,120 --> 00:12:20,480 Speaker 2: than that, and it really depends on things like the 237 00:12:20,520 --> 00:12:23,880 Speaker 2: maturity of the industry in that area, the salinity of 238 00:12:23,960 --> 00:12:26,160 Speaker 2: the water that you're using in the first place. The 239 00:12:26,200 --> 00:12:28,880 Speaker 2: saltier your feed water is, the harder it is to 240 00:12:28,920 --> 00:12:31,040 Speaker 2: get the salt out, and therefore the more expensive it is. 241 00:12:31,200 --> 00:12:33,680 Speaker 2: Things like the cost of energy and as well as 242 00:12:33,800 --> 00:12:36,760 Speaker 2: the pre and post treatment required for that water depending 243 00:12:36,800 --> 00:12:37,560 Speaker 2: on its use case. 244 00:12:38,040 --> 00:12:41,400 Speaker 1: So you've just described this process of desalination, which I 245 00:12:41,559 --> 00:12:45,520 Speaker 1: fully recognize is one complex into energy intensive and with 246 00:12:45,720 --> 00:12:49,840 Speaker 1: that comes costs. So it's a application that is a 247 00:12:50,120 --> 00:12:52,640 Speaker 1: you know, if you really need it and you have 248 00:12:52,720 --> 00:12:55,280 Speaker 1: access to salt water, you're going to use this. But 249 00:12:55,360 --> 00:12:58,800 Speaker 1: let's talk a bit about how people are currently getting water. 250 00:12:58,920 --> 00:13:01,400 Speaker 1: And I'm thinking about parts of the world that are 251 00:13:01,520 --> 00:13:03,960 Speaker 1: currently under water stress. So the state that I grew 252 00:13:04,000 --> 00:13:07,200 Speaker 1: up in is California and produces a ton of food 253 00:13:07,440 --> 00:13:10,640 Speaker 1: and also has a lot of periods of water stress 254 00:13:10,640 --> 00:13:12,520 Speaker 1: in recent history, a lot of years that would be 255 00:13:12,600 --> 00:13:14,640 Speaker 1: classified as droughts. And I know that this is not 256 00:13:15,000 --> 00:13:18,280 Speaker 1: unique to California, but there's a lot of conversation about 257 00:13:18,320 --> 00:13:20,800 Speaker 1: the water that is in dams and whether or not 258 00:13:20,920 --> 00:13:23,360 Speaker 1: to release it at certain points in time. There was 259 00:13:24,000 --> 00:13:27,600 Speaker 1: some water recently released. It was being held for agriculture 260 00:13:27,679 --> 00:13:30,520 Speaker 1: for it later in the summer for August September, which 261 00:13:30,600 --> 00:13:33,040 Speaker 1: is now no longer available. So water stress is coming 262 00:13:33,080 --> 00:13:36,920 Speaker 1: to California potentially later this year. Is desalination something that's 263 00:13:37,080 --> 00:13:39,959 Speaker 1: on the cards for that part of the world or 264 00:13:40,360 --> 00:13:42,600 Speaker 1: other areas where there is water stress, or is this 265 00:13:42,800 --> 00:13:45,719 Speaker 1: really somewhat limited use cases at least at this point 266 00:13:45,760 --> 00:13:48,920 Speaker 1: in time because of how expensive and complex it is. 267 00:13:49,280 --> 00:13:53,280 Speaker 2: Descalination is definitely being considered by more parts of the world. California, 268 00:13:53,320 --> 00:13:56,839 Speaker 2: for example, recently released a report on the future of 269 00:13:56,920 --> 00:13:59,760 Speaker 2: desalination plants in the state. But you have to remember 270 00:13:59,800 --> 00:14:02,400 Speaker 2: that and we're thinking about desalination, we're comparing it to 271 00:14:02,440 --> 00:14:06,760 Speaker 2: the alternative, which oftentimes is water that is really really 272 00:14:06,880 --> 00:14:09,920 Speaker 2: cheap and oftentimes free. So take for example, if you 273 00:14:09,960 --> 00:14:12,520 Speaker 2: are a farmer that depends on groundwater, you have to 274 00:14:12,559 --> 00:14:15,439 Speaker 2: pay for a well, you know, install a well that 275 00:14:15,720 --> 00:14:17,920 Speaker 2: goes down into the ground, and pay for the pumps, 276 00:14:17,920 --> 00:14:20,360 Speaker 2: but the water itself you might not be paying for. 277 00:14:20,520 --> 00:14:22,400 Speaker 2: You might not be paying for water that you draw 278 00:14:22,480 --> 00:14:25,360 Speaker 2: from a lake for example. So oftentimes one of the 279 00:14:25,560 --> 00:14:27,440 Speaker 2: things that we talk about in desalination is we have 280 00:14:27,520 --> 00:14:29,280 Speaker 2: to lower the cost of water if we want this 281 00:14:29,360 --> 00:14:33,120 Speaker 2: technology to be more competitive, because we're competing against really 282 00:14:33,200 --> 00:14:35,200 Speaker 2: cheap access to water in lots of parts of the world. 283 00:14:35,480 --> 00:14:39,120 Speaker 1: And then just let's talk about that one drawback other 284 00:14:39,160 --> 00:14:41,560 Speaker 1: than the energy intensity, which has to do with increasing 285 00:14:41,600 --> 00:14:44,520 Speaker 1: the salinity in wherever it is you're pulling the water from. 286 00:14:44,560 --> 00:14:46,200 Speaker 1: If you take out the fresh water but you leave 287 00:14:46,240 --> 00:14:49,080 Speaker 1: the salt, what does that do to the local ecosystem. 288 00:14:49,360 --> 00:14:52,800 Speaker 2: Yeah, so reverse osmosis, which as I mentioned is the 289 00:14:52,840 --> 00:14:56,360 Speaker 2: most commonly used process today, ends up resulting into two 290 00:14:56,400 --> 00:14:58,560 Speaker 2: streams of water. Like you have the fresh water, which 291 00:14:58,600 --> 00:15:00,040 Speaker 2: is what you want to go on and use, and 292 00:15:00,040 --> 00:15:02,720 Speaker 2: then you have this thing called brine. And this is Basically, 293 00:15:02,760 --> 00:15:06,240 Speaker 2: this even saltier water that is left behind. Globally, more 294 00:15:06,240 --> 00:15:08,640 Speaker 2: than one hundred and fifty million cubic meters of brine 295 00:15:08,680 --> 00:15:11,320 Speaker 2: are produced per day from desalination, which is more than 296 00:15:11,320 --> 00:15:14,840 Speaker 2: double the amount of fresh water produced from those same facilities. Now, 297 00:15:14,960 --> 00:15:18,000 Speaker 2: this brine can have an impact on the environment. First 298 00:15:18,000 --> 00:15:21,440 Speaker 2: of all, it's saltier, which is not what the aquatic 299 00:15:21,480 --> 00:15:23,560 Speaker 2: life in oceans are used to. But you can also 300 00:15:23,600 --> 00:15:26,880 Speaker 2: have other impacts, such as the temperature being different. That's 301 00:15:26,920 --> 00:15:30,000 Speaker 2: why these facilities have to take into account things like 302 00:15:30,160 --> 00:15:33,200 Speaker 2: how they disperse this brine into the ocean in order 303 00:15:33,240 --> 00:15:35,800 Speaker 2: to try to minimize impacts. They also have to design 304 00:15:35,840 --> 00:15:38,840 Speaker 2: their systems so that you know, aquatic life isn't actually 305 00:15:38,880 --> 00:15:41,720 Speaker 2: sucked into with the desalination plant in the first place 306 00:15:41,760 --> 00:15:43,160 Speaker 2: when they're grabbing the ocean water. 307 00:15:43,480 --> 00:15:45,960 Speaker 1: Okay, so there are certainly some drawbacks that one needs 308 00:15:46,000 --> 00:15:48,760 Speaker 1: to consider before we revert to wide scale use of 309 00:15:48,800 --> 00:15:51,920 Speaker 1: desalination and before we go to the measures that are 310 00:15:51,960 --> 00:15:54,800 Speaker 1: being taken to maybe reduce water consumption. So we're being 311 00:15:54,840 --> 00:15:57,880 Speaker 1: a little wiser about what it is that we're applying 312 00:15:57,880 --> 00:15:59,680 Speaker 1: it to and how we're doing it. Let's just talk 313 00:15:59,720 --> 00:16:05,480 Speaker 1: about one other emerging technology. So atmospheric water generation is 314 00:16:05,600 --> 00:16:08,120 Speaker 1: seen as an emerging technology. But I'm going to stop 315 00:16:08,160 --> 00:16:10,200 Speaker 1: for a minute before you get to well, when you 316 00:16:10,240 --> 00:16:12,480 Speaker 1: go to explain what it is, can you also tell 317 00:16:12,520 --> 00:16:16,120 Speaker 1: me how this technology differs from the dehumidifier that I 318 00:16:16,200 --> 00:16:18,520 Speaker 1: have sucking the water out of my clothes as I'm 319 00:16:18,600 --> 00:16:19,680 Speaker 1: drying them on the drying rack. 320 00:16:19,960 --> 00:16:24,520 Speaker 2: Oh, sometimes it doesn't actually, So the idea high atmospheric 321 00:16:24,520 --> 00:16:27,360 Speaker 2: water generation is that you are taking water vapor from 322 00:16:27,400 --> 00:16:29,480 Speaker 2: the air and condensing it, and there are actually a 323 00:16:29,520 --> 00:16:31,280 Speaker 2: couple of ways to do that. Some of it is 324 00:16:31,360 --> 00:16:35,560 Speaker 2: simple condensation, which is like the seeing technology that is 325 00:16:35,600 --> 00:16:39,680 Speaker 2: in your dehumidifier. Actually, sometimes it's instead using a process 326 00:16:39,680 --> 00:16:43,120 Speaker 2: called absorption, in which you have basically a solid that 327 00:16:43,200 --> 00:16:47,040 Speaker 2: the water then adheres to. Sometimes you have things called bognets, 328 00:16:47,080 --> 00:16:51,320 Speaker 2: which are basically inspired by spiderwebs and water drop lists 329 00:16:51,440 --> 00:16:55,480 Speaker 2: collect on the strings of these nets and then coalesce together, 330 00:16:56,000 --> 00:16:58,880 Speaker 2: creating more water. So atmospheric water generation is actually just 331 00:16:59,120 --> 00:17:01,600 Speaker 2: an umbrella term for a couple of different technologies, but 332 00:17:01,640 --> 00:17:04,840 Speaker 2: they all aim to collect water from the air instead. 333 00:17:04,960 --> 00:17:07,760 Speaker 2: This makes it different from desalination, which you know requires 334 00:17:07,760 --> 00:17:11,359 Speaker 2: some sort of large body of salty water nearby. Atmospheric 335 00:17:11,359 --> 00:17:14,840 Speaker 2: water generation isn't limited by having access to a body 336 00:17:14,840 --> 00:17:17,560 Speaker 2: of water, it's instead thinking about how much humidity is 337 00:17:17,600 --> 00:17:18,000 Speaker 2: in the air. 338 00:17:18,200 --> 00:17:20,760 Speaker 1: Okay, So now that we've talked about the technologies that 339 00:17:20,800 --> 00:17:24,840 Speaker 1: are potentially increasing supply, let's talk about water management and 340 00:17:24,920 --> 00:17:28,040 Speaker 1: what can be done to reduce the amount of demand. 341 00:17:28,320 --> 00:17:32,680 Speaker 1: You know how much of a role deletes play in pipes. 342 00:17:32,720 --> 00:17:34,280 Speaker 1: You know, what are some of the main areas where 343 00:17:34,320 --> 00:17:37,200 Speaker 1: we're just losing water needlessly, and what steps are being 344 00:17:37,240 --> 00:17:38,600 Speaker 1: taken to ameliorate that. 345 00:17:39,040 --> 00:17:42,040 Speaker 2: In addition to being able to increase these sources of 346 00:17:42,080 --> 00:17:44,520 Speaker 2: water that we have, being able to reduce how much 347 00:17:44,600 --> 00:17:47,679 Speaker 2: water we need is also incredibly useful, and there are 348 00:17:47,680 --> 00:17:49,960 Speaker 2: a couple of ways that we can do this. Let's 349 00:17:49,960 --> 00:17:54,080 Speaker 2: start from the utility perspective. Water utilities are often the 350 00:17:54,119 --> 00:17:57,040 Speaker 2: way in which water gets distributed in places, and so 351 00:17:57,160 --> 00:18:01,639 Speaker 2: we have these large infrastructure networks that manage these large 352 00:18:01,800 --> 00:18:05,240 Speaker 2: water flows, covering everything from distributing drinking water to also 353 00:18:05,320 --> 00:18:09,040 Speaker 2: storm water management. Now, if we look at just drinking water, 354 00:18:09,160 --> 00:18:12,440 Speaker 2: we know that today over three hundred and forty five 355 00:18:12,520 --> 00:18:16,600 Speaker 2: million cubic meters of water are lost in distribution daily, 356 00:18:16,840 --> 00:18:20,320 Speaker 2: and that's money that is lost by those water utilities 357 00:18:20,359 --> 00:18:22,879 Speaker 2: because it's water that they sent out but didn't actually 358 00:18:22,920 --> 00:18:24,639 Speaker 2: make it to a customer, so they don't get to 359 00:18:24,760 --> 00:18:27,200 Speaker 2: charge their customers for it. But it's also water that 360 00:18:27,359 --> 00:18:29,800 Speaker 2: we would rather put to good use. We would rather 361 00:18:29,920 --> 00:18:32,960 Speaker 2: not waste that water. You also have things like making 362 00:18:33,040 --> 00:18:36,960 Speaker 2: sure that these really large infrastructure systems are operating well. 363 00:18:37,040 --> 00:18:39,159 Speaker 2: We can that way, we can find these leaks quickly, 364 00:18:39,240 --> 00:18:41,960 Speaker 2: we can manage the equipment well. And so as a result, 365 00:18:42,080 --> 00:18:45,520 Speaker 2: we ATF tracked thirty six different companies that are selling 366 00:18:45,560 --> 00:18:48,959 Speaker 2: their products to these utilities across those different use cases 367 00:18:49,000 --> 00:18:52,200 Speaker 2: around managing their equipment better, finding leaked to connection, being 368 00:18:52,240 --> 00:18:55,000 Speaker 2: able to monitor their water quality, all in an effort 369 00:18:55,080 --> 00:18:57,400 Speaker 2: to make sure that we use our water more effectively. 370 00:18:57,720 --> 00:19:01,119 Speaker 2: These companies have collectively raised two hundred seventy six million 371 00:19:01,160 --> 00:19:04,720 Speaker 2: dollars since twenty sixteen, which is admittedly raising money a 372 00:19:04,720 --> 00:19:07,639 Speaker 2: little slower than most climate technologies. But that's not to 373 00:19:07,680 --> 00:19:11,080 Speaker 2: say that this isn't really useful, because we really need 374 00:19:11,119 --> 00:19:13,800 Speaker 2: to make sure that we're using our water as effectively 375 00:19:13,800 --> 00:19:14,440 Speaker 2: as possible. 376 00:19:14,720 --> 00:19:17,000 Speaker 1: Well, and so then you know, let's talk about agriculture, 377 00:19:17,000 --> 00:19:19,920 Speaker 1: which is an application that we I think all kind 378 00:19:19,960 --> 00:19:23,919 Speaker 1: of really understand in its basic sense. And you identified 379 00:19:23,920 --> 00:19:26,080 Speaker 1: earlier that in some of these use cases, you know, 380 00:19:26,080 --> 00:19:28,399 Speaker 1: they are aquifers underground, they have access to them, but 381 00:19:28,440 --> 00:19:31,600 Speaker 1: that doesn't mean that it's limitless. Is that the primary 382 00:19:31,640 --> 00:19:37,199 Speaker 1: motivation for innovation in reducing water use in agricultural applications 383 00:19:37,240 --> 00:19:39,280 Speaker 1: and what are some of the way is that the 384 00:19:39,320 --> 00:19:42,680 Speaker 1: agriculture system is actually trying to be a little bit 385 00:19:42,720 --> 00:19:45,240 Speaker 1: more cautious about their water consumption. 386 00:19:45,760 --> 00:19:49,080 Speaker 2: Yeah. So, as I mentioned earlier, agriculture is the largest 387 00:19:49,240 --> 00:19:53,560 Speaker 2: user of fresh water supply, and water stress therefore really 388 00:19:53,880 --> 00:19:57,159 Speaker 2: is impactful to this industry. It's whether it's aquifers that 389 00:19:57,200 --> 00:20:00,440 Speaker 2: are being drawn down and aren't being replenished by ra water, 390 00:20:00,600 --> 00:20:05,360 Speaker 2: whether it's rivers that have so much water being withdrawn 391 00:20:05,440 --> 00:20:08,400 Speaker 2: upstream that by the time you a downstream farmer gets 392 00:20:08,400 --> 00:20:10,919 Speaker 2: access to the river, it's drier than it would have 393 00:20:10,960 --> 00:20:15,520 Speaker 2: been otherwise. Altogether, we're seeing that water stress is increasingly 394 00:20:15,680 --> 00:20:18,960 Speaker 2: a challenge that farmers and the agriculture industry have to face. 395 00:20:19,119 --> 00:20:21,240 Speaker 2: But it's also one that we it's really important that 396 00:20:21,240 --> 00:20:23,760 Speaker 2: we resolved. Irrigation is one of the ways you do 397 00:20:23,800 --> 00:20:27,640 Speaker 2: that right, and some nine hundred and thirty five billion 398 00:20:27,680 --> 00:20:31,119 Speaker 2: cubic meters of water we're used for irrigation purposes. In 399 00:20:31,160 --> 00:20:35,159 Speaker 2: twenty twenty one, irrigated lands account for thirty three percent 400 00:20:35,200 --> 00:20:38,080 Speaker 2: of global crop production and forty four percent of cereal 401 00:20:38,119 --> 00:20:41,280 Speaker 2: production despite only being twenty four percent of crop lands, 402 00:20:41,400 --> 00:20:44,360 Speaker 2: meaning that like they're functuring above their weight, your irrigation 403 00:20:44,440 --> 00:20:47,440 Speaker 2: is really important. But climate change is making these water 404 00:20:47,480 --> 00:20:50,639 Speaker 2: flows more erratic, and so the agriculture sector is looking 405 00:20:50,720 --> 00:20:55,000 Speaker 2: at how they can use water more efficiently, specifically by 406 00:20:55,080 --> 00:20:58,320 Speaker 2: thinking about how they can lower the amount of water 407 00:20:58,359 --> 00:21:01,560 Speaker 2: they use or time when using that water really well, 408 00:21:01,640 --> 00:21:05,359 Speaker 2: so that they can use less water while improving their yield. 409 00:21:05,560 --> 00:21:07,520 Speaker 2: The way they do this is through analytics that can 410 00:21:07,520 --> 00:21:11,920 Speaker 2: help them better understand things like weather patterns, soil moisture, 411 00:21:12,200 --> 00:21:15,160 Speaker 2: better understand where water is being lost on the farm, 412 00:21:15,359 --> 00:21:17,639 Speaker 2: and the hope is that they can minimize crop losses 413 00:21:17,680 --> 00:21:20,280 Speaker 2: as a result. Just as an example, in the US 414 00:21:20,400 --> 00:21:23,080 Speaker 2: since two thousand, drought and high temperatures have been the 415 00:21:23,119 --> 00:21:27,360 Speaker 2: primary driver of indemnified crop loss under the US Federal 416 00:21:27,359 --> 00:21:30,679 Speaker 2: Crop Insurance Program, responsible for forty three point seven percent 417 00:21:30,720 --> 00:21:33,760 Speaker 2: of pavements. So figuring out how to use water really 418 00:21:33,760 --> 00:21:37,360 Speaker 2: effectively has significant financial consequences for agriculture. 419 00:21:37,520 --> 00:21:42,119 Speaker 1: Okay, so when it comes to water and perhaps recycling 420 00:21:42,119 --> 00:21:44,160 Speaker 1: of water, where does the role of gray water come 421 00:21:44,200 --> 00:21:48,919 Speaker 1: into this? And water treatment and reuse, which you know 422 00:21:49,200 --> 00:21:54,040 Speaker 1: is reducing the amount of what is required because you're 423 00:21:54,640 --> 00:21:56,119 Speaker 1: making better use of what you already have. 424 00:21:56,600 --> 00:22:01,399 Speaker 2: Yeah, absolutely thinking about reusing, recycling, and also eventually you 425 00:22:01,640 --> 00:22:04,879 Speaker 2: discharge water out into the world. All of that means 426 00:22:04,920 --> 00:22:08,120 Speaker 2: that you want to think about water and wastewater treatment. 427 00:22:08,280 --> 00:22:10,600 Speaker 2: You want to make sure that the water is still 428 00:22:10,960 --> 00:22:13,240 Speaker 2: at a good enough quality for whatever it is your 429 00:22:13,280 --> 00:22:15,920 Speaker 2: deal with mix. So if you're trying to recycle water 430 00:22:16,040 --> 00:22:17,879 Speaker 2: within your plant, you want to make sure that the 431 00:22:17,920 --> 00:22:19,920 Speaker 2: water is still pure enough that it's not going to 432 00:22:20,000 --> 00:22:23,560 Speaker 2: damage your equipment. If you are discharging it out into 433 00:22:24,040 --> 00:22:25,680 Speaker 2: the environment, you want to make sure that it is 434 00:22:25,720 --> 00:22:29,280 Speaker 2: clean enough that you're not running into problems with environmental regulations. 435 00:22:29,480 --> 00:22:33,800 Speaker 2: So that means thinking about things like heavy metals, chemicals, microbes. 436 00:22:33,840 --> 00:22:36,000 Speaker 2: These are all different types of impurities that can be 437 00:22:36,080 --> 00:22:39,200 Speaker 2: found in water, and depending on what that water is 438 00:22:39,280 --> 00:22:41,840 Speaker 2: used for, you want to think about what's the concentration 439 00:22:41,960 --> 00:22:44,600 Speaker 2: of those impurities that you want in your water. So 440 00:22:44,800 --> 00:22:48,320 Speaker 2: water treatment tech is already widely used today, as is 441 00:22:48,400 --> 00:22:53,679 Speaker 2: wastewater treatment, and as water stress becomes more salient, we 442 00:22:53,720 --> 00:22:57,560 Speaker 2: can expect to see these technologies become more used throughout 443 00:22:57,600 --> 00:22:57,960 Speaker 2: the world. 444 00:22:58,200 --> 00:23:00,639 Speaker 1: So as we think about this as a problem that 445 00:23:01,240 --> 00:23:05,320 Speaker 1: will affect certain regions more than others, but certainly is global. 446 00:23:05,440 --> 00:23:09,880 Speaker 1: Are these solutions and some of these ways of purifying water, 447 00:23:09,960 --> 00:23:13,440 Speaker 1: treating water, recycling water, do they have wide scale application 448 00:23:13,600 --> 00:23:18,160 Speaker 1: or are these going to be really hyper regional, hyperlocal solutions. 449 00:23:18,440 --> 00:23:20,639 Speaker 1: I guess the question I'm asking is how scalable are 450 00:23:20,680 --> 00:23:23,240 Speaker 1: the solutions going to be? As people are looking to 451 00:23:23,359 --> 00:23:26,160 Speaker 1: tackle water stress worldwide. 452 00:23:25,680 --> 00:23:29,480 Speaker 2: We've already seen how water tech can be widely adopted. 453 00:23:29,760 --> 00:23:34,200 Speaker 2: Take drinking water right, We around the world have parts 454 00:23:34,240 --> 00:23:36,520 Speaker 2: of the world which have really good access to drinking 455 00:23:36,560 --> 00:23:38,600 Speaker 2: water because we've done a good job of building the 456 00:23:38,640 --> 00:23:41,840 Speaker 2: infrastructure required to treat that drinking water. Access to clean 457 00:23:41,880 --> 00:23:45,040 Speaker 2: water has expanded significantly over the last two decades, although 458 00:23:45,040 --> 00:23:47,680 Speaker 2: we still have large portions of Oceana and Sub Saharan 459 00:23:47,720 --> 00:23:51,200 Speaker 2: Africa that remain without access to it. Wastewater treatment is 460 00:23:51,240 --> 00:23:55,240 Speaker 2: also widespread. Now there are over fifty thousand municipally operated 461 00:23:55,280 --> 00:23:59,160 Speaker 2: wastewater treatment plants around the world globally, and we can 462 00:23:59,200 --> 00:24:04,760 Speaker 2: expect to see that increase as more places adopt wastewater regulations. However, 463 00:24:04,880 --> 00:24:08,160 Speaker 2: it should be noted that when I say water treatment 464 00:24:08,240 --> 00:24:11,719 Speaker 2: tech that encompasses so many things, there are over one 465 00:24:11,760 --> 00:24:16,199 Speaker 2: hundred different technologies that I am subtly referencing in that, 466 00:24:16,400 --> 00:24:19,200 Speaker 2: and that's because water can just be so different. The 467 00:24:19,240 --> 00:24:23,120 Speaker 2: water that comes out of a pulp and paper manufacturing 468 00:24:23,119 --> 00:24:25,399 Speaker 2: facility is different from the water that comes out of 469 00:24:25,440 --> 00:24:27,760 Speaker 2: a steel facility, is different from the water that comes 470 00:24:27,760 --> 00:24:31,520 Speaker 2: out of my apartment, for example. So there is plenty 471 00:24:31,520 --> 00:24:35,320 Speaker 2: of opportunity for water tech to grow an adoption, though 472 00:24:35,359 --> 00:24:37,600 Speaker 2: exactly what type of technology it's actually a little bit 473 00:24:37,640 --> 00:24:40,400 Speaker 2: more specific than that, and not everything works in every circumstance. 474 00:24:40,680 --> 00:24:43,320 Speaker 1: Yeah, So while we're talking about, you know, trying to 475 00:24:43,880 --> 00:24:48,320 Speaker 1: apply some industrial processes to improve water quality for some 476 00:24:48,400 --> 00:24:51,320 Speaker 1: of the broader use cases, there are going to be 477 00:24:51,440 --> 00:24:53,199 Speaker 1: lots of different use cases that are going to need 478 00:24:53,240 --> 00:24:55,840 Speaker 1: to emerge and have this water tech that you're speaking about. 479 00:24:55,960 --> 00:24:59,000 Speaker 1: So let's go into one of those more specific cases, 480 00:24:59,400 --> 00:25:02,719 Speaker 1: which has to do with purifying water and these You know, well, 481 00:25:02,760 --> 00:25:05,560 Speaker 1: there's a lot of discussion about forever chemicals and human 482 00:25:05,640 --> 00:25:09,160 Speaker 1: consumption and how food water is carrying some of these 483 00:25:09,160 --> 00:25:12,159 Speaker 1: things at the moment. So PFAS, which stands for I 484 00:25:12,160 --> 00:25:13,720 Speaker 1: don't even think I can say this out loud, what 485 00:25:13,760 --> 00:25:14,920 Speaker 1: does PFAST stand for? 486 00:25:15,320 --> 00:25:16,679 Speaker 2: I was, well, I was looking at that. I was like, 487 00:25:16,680 --> 00:25:20,719 Speaker 2: oh god, I have to power and polyfloral alkyl substances. 488 00:25:20,640 --> 00:25:24,600 Speaker 1: Right, So this term, First of all, what a PFAS? 489 00:25:24,720 --> 00:25:27,600 Speaker 1: Why should we be concerned? And then on the more 490 00:25:27,640 --> 00:25:31,040 Speaker 1: optimistic side, what is happening in water tech to reduce 491 00:25:31,240 --> 00:25:32,200 Speaker 1: p FAST in our water? 492 00:25:32,640 --> 00:25:36,160 Speaker 2: Yes? So p FAS is an umbrella term for thousands 493 00:25:36,160 --> 00:25:39,080 Speaker 2: of different synthetic chemicals. So basically, I want you to 494 00:25:39,119 --> 00:25:42,760 Speaker 2: think of a nice little hydrocarbon chain and we're going 495 00:25:42,840 --> 00:25:45,520 Speaker 2: to pop off some of those hydrogen atoms and attach 496 00:25:45,600 --> 00:25:49,560 Speaker 2: multiple fluorine atoms instead. This gives it the property where 497 00:25:49,640 --> 00:25:54,040 Speaker 2: it can be used in nonstick coatings and waterproofing, firefighter films, 498 00:25:54,280 --> 00:25:56,960 Speaker 2: among a bunch of other things. And PFASs really became 499 00:25:57,119 --> 00:26:02,160 Speaker 2: very prevalent throughout different manufacturing processing. The downside is that 500 00:26:02,560 --> 00:26:07,120 Speaker 2: PFAS is really long lasting and bioaccumulating, and we now 501 00:26:07,240 --> 00:26:11,000 Speaker 2: have a growing body of scientific research sewing that pfas 502 00:26:11,000 --> 00:26:15,119 Speaker 2: can have health impacts, including impacts on raising cholesterol, diminished 503 00:26:15,119 --> 00:26:19,320 Speaker 2: antibody responses, and increased likelihood of cancer. As a result, 504 00:26:19,560 --> 00:26:23,199 Speaker 2: we have seen increasing government regulation of p fas, and 505 00:26:23,200 --> 00:26:26,720 Speaker 2: we've also seen lots of lawsuits against major chemical companies 506 00:26:26,880 --> 00:26:31,320 Speaker 2: accusing them of basically polluting water with pfas. So PFAS 507 00:26:31,400 --> 00:26:34,040 Speaker 2: is clearly getting a lot more attention these days as 508 00:26:34,080 --> 00:26:36,680 Speaker 2: like an emerging contaminant that we now need to create 509 00:26:36,680 --> 00:26:39,000 Speaker 2: the technologies to be able to treat. 510 00:26:39,520 --> 00:26:41,439 Speaker 1: So to sum this up, we've tried to talk about 511 00:26:41,680 --> 00:26:46,800 Speaker 1: water and water applications supply demand different purification processes in 512 00:26:46,840 --> 00:26:48,600 Speaker 1: a very short period of time on this show. We 513 00:26:48,920 --> 00:26:51,879 Speaker 1: just barely touched upon it and set the groundwork for 514 00:26:52,119 --> 00:26:55,520 Speaker 1: further conversation on this topic. But what I'm hearing from 515 00:26:55,600 --> 00:27:00,040 Speaker 1: you is that there are some legacy existing technologies that 516 00:27:00,280 --> 00:27:04,240 Speaker 1: have wider use case, and there are emerging technologies that 517 00:27:04,480 --> 00:27:07,280 Speaker 1: some of them will be more niche applications, and some 518 00:27:07,359 --> 00:27:10,280 Speaker 1: of them will be tackling some of these more prevalent, 519 00:27:10,359 --> 00:27:14,000 Speaker 1: increasingly prevalent issues like pfas, and this is a space 520 00:27:14,040 --> 00:27:16,680 Speaker 1: that's actively being covered, that there's a lot of innovation 521 00:27:16,800 --> 00:27:19,680 Speaker 1: happening at the moment, and that you know, there's certainly 522 00:27:19,720 --> 00:27:22,440 Speaker 1: something to watch as we look at this really critically 523 00:27:22,520 --> 00:27:26,399 Speaker 1: important resource not only for human survival and agriculture, but 524 00:27:26,440 --> 00:27:29,600 Speaker 1: also for the modern world we live in with energy 525 00:27:29,600 --> 00:27:32,600 Speaker 1: consumption and AI is that a fair estimation? What did 526 00:27:32,640 --> 00:27:35,080 Speaker 1: I miss Stephanie? What is the other takeaway that you 527 00:27:35,200 --> 00:27:37,560 Speaker 1: may have from the work that you did delving into 528 00:27:37,680 --> 00:27:40,200 Speaker 1: the world of water as it relates to bn F. 529 00:27:40,880 --> 00:27:42,399 Speaker 2: Water is one of those things, like I said at 530 00:27:42,440 --> 00:27:44,000 Speaker 2: the beginning of the show, we kind of take it 531 00:27:44,000 --> 00:27:46,360 Speaker 2: for granted in lots of parts of the world because 532 00:27:46,400 --> 00:27:53,119 Speaker 2: it just is available. But as climate change changes that availability, 533 00:27:53,280 --> 00:27:56,359 Speaker 2: we shouldn't be taking it for granted. And water is 534 00:27:56,520 --> 00:27:59,960 Speaker 2: really useful and really important. It's one of the small 535 00:28:00,240 --> 00:28:02,600 Speaker 2: areas of climate tech, but it is one that is 536 00:28:02,640 --> 00:28:05,680 Speaker 2: going to play a significant role in the future. And 537 00:28:05,880 --> 00:28:07,520 Speaker 2: just to kind of illustrate what I mean by that, 538 00:28:07,560 --> 00:28:09,240 Speaker 2: I want to give you an example of like where 539 00:28:09,280 --> 00:28:10,840 Speaker 2: I live, because I live in New York City and 540 00:28:10,840 --> 00:28:12,879 Speaker 2: we're in the part of the US known for having 541 00:28:13,040 --> 00:28:15,080 Speaker 2: plentiful water. We actually get more rain in a year 542 00:28:15,119 --> 00:28:17,680 Speaker 2: than London, but we're currently in a moderate drought according 543 00:28:17,680 --> 00:28:21,239 Speaker 2: to the US National Oceanic and Atmospheric Administration and have 544 00:28:21,359 --> 00:28:24,520 Speaker 2: been since the fall. And this drought actually led to 545 00:28:24,600 --> 00:28:27,520 Speaker 2: us postponing work on the Delaware Aqueduct, which is what 546 00:28:27,680 --> 00:28:30,479 Speaker 2: an aqueduct that normally provides ninety percent of my city's 547 00:28:30,520 --> 00:28:34,440 Speaker 2: drinking water. It needs repair because it currently leaks about 548 00:28:34,480 --> 00:28:36,960 Speaker 2: thirty five million gallons of water a day, but the 549 00:28:37,040 --> 00:28:39,600 Speaker 2: drought meant that we had to postpone network. That's an 550 00:28:39,600 --> 00:28:42,680 Speaker 2: example of water stress and challenges in a place that 551 00:28:42,880 --> 00:28:45,920 Speaker 2: normally isn't water stressed and challenged. So all of this 552 00:28:46,160 --> 00:28:48,920 Speaker 2: to say that you'll be hearing more about water as 553 00:28:48,920 --> 00:28:49,480 Speaker 2: time goes on. 554 00:28:49,960 --> 00:28:52,200 Speaker 1: Something to watch, and thank you Stephanie so much for 555 00:28:52,280 --> 00:28:54,680 Speaker 1: coming and is sharing lots of thoughts on how we 556 00:28:54,720 --> 00:28:56,040 Speaker 1: should be thinking about water. 557 00:28:56,440 --> 00:28:57,240 Speaker 2: Thanks for having me. 558 00:29:06,040 --> 00:29:09,160 Speaker 1: Today's episode of Switched On was produced by Cam Gray 559 00:29:09,360 --> 00:29:13,040 Speaker 1: with production assistance from Kamala Shelling. Bloomberg NIF is a 560 00:29:13,080 --> 00:29:16,160 Speaker 1: service provided by Bloomberg Finance LP and its affiliates. This 561 00:29:16,280 --> 00:29:18,959 Speaker 1: recording does not constitute, nor should it be construed as 562 00:29:19,000 --> 00:29:22,760 Speaker 1: investment in vice investment recommendations, or a recommendation as to 563 00:29:22,800 --> 00:29:25,680 Speaker 1: an investment or other strategy. Bloomberg ANIF should not be 564 00:29:25,720 --> 00:29:29,480 Speaker 1: considered as information sufficient upon which to base an investment decision. 565 00:29:29,600 --> 00:29:32,560 Speaker 1: Neither Bloomberg Finance LP nor any of its affiliates makes 566 00:29:32,600 --> 00:29:36,320 Speaker 1: any representation or warranty as to the accuracy or completeness 567 00:29:36,320 --> 00:29:39,320 Speaker 1: of the information contained in this recording, and any liability 568 00:29:39,360 --> 00:29:42,000 Speaker 1: as a result of this recording is expressly disclaimed