WEBVTT 1 00:00:15.500 --> 00:00:20.180 So, this is a map of the energy level called a load ring. 2 00:00:20.480 --> 00:00:22.830 That is to say, different load media 3 00:00:23.340 --> 00:00:26.340 It's not the same level. 4 00:00:26.580 --> 00:00:30.010 Let's take this for example, called heat. 5 00:00:30.850 --> 00:00:33.010 The higher the temperature, the higher the energy level. 6 00:00:34.830 --> 00:00:37.500 This different energy carrying medium 7 00:00:37.660 --> 00:00:38.920 It has a different correspondence 8 00:00:38.920 --> 00:00:40.110 Different energy levels 9 00:00:40.530 --> 00:00:43.510 So we can draw it as a map called the energy level 10 00:00:50.810 --> 00:00:52.420 Production cost of energy 11 00:00:53.290 --> 00:00:54.720 Production cost of heat 12 00:00:55.080 --> 00:00:56.350 Same heat production 13 00:00:56.350 --> 00:00:57.990 I use different ways 14 00:00:58.770 --> 00:01:02.200 It means that the cost of production is different. 15 00:01:02.430 --> 00:01:05.980 For example, we say the same, I want to keep warm. 16 00:01:06.410 --> 00:01:08.070 I want to keep warm in winter. 17 00:01:08.250 --> 00:01:09.380 There are many ways 18 00:01:09.650 --> 00:01:13.930 One of the things I'm talking about is burning a coal burner 19 00:01:13.930 --> 00:01:14.940 Burning coal furnace 20 00:01:15.420 --> 00:01:16.160 I can go too 21 00:01:16.890 --> 00:01:18.440 There is another way. 22 00:01:19.080 --> 00:01:21.580 We use a heating called electric heating 23 00:01:22.200 --> 00:01:24.210 Or I use a little sun 24 00:01:24.210 --> 00:01:28.690 Even the infrared kind of electricity can also be heated. 25 00:01:29.010 --> 00:01:34.650 In fact, all these are, that is, from a primary energy use is not the most economical. 26 00:01:34.910 --> 00:01:39.280 That is to say, it is both direct combustion, this nature. 27 00:01:39.860 --> 00:01:43.670 In other words, its heat production costs are high. 28 00:01:44.710 --> 00:01:46.680 What is the more economical way? 29 00:01:47.160 --> 00:01:53.800 I use heat pump to say I use heat pump to heat the air in the soup. 30 00:01:53.940 --> 00:01:55.860 Originally the heat of the air was very low. 31 00:01:55.860 --> 00:01:57.320 We can't use it directly. 32 00:01:57.610 --> 00:02:06.140 But I use a kind of equipment like heat pump to raise the heat. 33 00:02:06.670 --> 00:02:11.890 For example, it turns out that the heat in our air is 20 degrees or 10 degrees. 34 00:02:11.890 --> 00:02:12.430 Heat 35 00:02:12.430 --> 00:02:14.150 I refer it to the heat pump 36 00:02:14.150 --> 00:02:15.620 Say three forty 37 00:02:15.850 --> 00:02:17.990 And send him indoors 38 00:02:17.990 --> 00:02:20.110 We can use it for heating. 39 00:02:21.070 --> 00:02:23.270 A heat pump is like a water pump. 40 00:02:23.270 --> 00:02:27.770 A pump, as we know, is a device that carries water from a low point to a high point. 41 00:02:27.770 --> 00:02:29.430 The heat pump resembles a pump. 42 00:02:29.430 --> 00:02:34.540 It is the case of heat from low grade or low temperature. 43 00:02:34.640 --> 00:02:39.290 To raise it to a higher temperature is such a level. 44 00:02:40.260 --> 00:02:41.260 Such a process 45 00:02:41.440 --> 00:02:44.960 In fact, because it takes advantage of the heat in the surrounding environment. 46 00:02:44.960 --> 00:02:49.660 So using heat pumps to make heat or heat 47 00:02:50.020 --> 00:02:52.180 Its energy efficiency is relatively high. 48 00:02:52.180 --> 00:02:59.360 It is much more efficient than electricity heating. 49 00:02:59.980 --> 00:03:02.160 That is, if you use electricity for heating 50 00:03:02.160 --> 00:03:05.330 One piece of electricity is one piece of electricity is one piece of heat. 51 00:03:05.530 --> 00:03:06.490 If you use a heat pump 52 00:03:06.730 --> 00:03:11.820 I put in a shop can get about three or four points, is three or four times the number of calories. 53 00:03:12.530 --> 00:03:17.710 So this different heat production 54 00:03:18.130 --> 00:03:21.190 The cost of its production is different. 55 00:03:21.550 --> 00:03:24.260 Then there are, for example, we do it by means of heat and electricity. 56 00:03:24.460 --> 00:03:35.410 That is to say, it can also play such a number of play to increase its reduction in the cost of heat production. 57 00:03:35.410 --> 00:03:36.550 It is such a function. 58 00:03:42.160 --> 00:03:49.080 While we're doing some research 59 00:03:49.280 --> 00:03:54.860 A model force analysis model for quantitative analysis is needed. 60 00:03:55.280 --> 00:03:59.150 So there are some models for quantitative analysis 61 00:03:59.340 --> 00:04:01.880 For example, a model of community energy flow 62 00:04:01.880 --> 00:04:04.820 Just now, I have shown you the method of illustration. 63 00:04:05.100 --> 00:04:08.690 Show you the energy flow chart 64 00:04:08.690 --> 00:04:12.630 So, this energy flow graph, if we quantify it, we want to quantify it. 65 00:04:12.630 --> 00:04:16.690 We need to have this, which is a model that can be left. 66 00:04:16.690 --> 00:04:19.420 The model of transverse flow is based on energy flow graph. 67 00:04:19.660 --> 00:04:22.040 And its optimization of such a model. 68 00:04:24.080 --> 00:04:27.340 Then there is a model of how communities can evolve. 69 00:04:27.780 --> 00:04:30.990 Just now I also mentioned that when the scene changed. 70 00:04:31.520 --> 00:04:33.520 So this energy flow diagram has to change 71 00:04:33.520 --> 00:04:34.500 Change as well 72 00:04:34.500 --> 00:04:38.280 So, the evolution model, once the conditions change. 73 00:04:38.460 --> 00:04:39.600 How to change the energy flow diagram 74 00:04:39.740 --> 00:04:43.110 So this is an evolutionary model called energy retention 75 00:04:43.540 --> 00:04:46.520 And an analytical model called the total energy system 76 00:04:46.980 --> 00:04:56.920 This is what we need to build community energy systems. 77 00:04:56.920 --> 00:04:59.550 A model or model tool. 78 00:05:04.450 --> 00:05:04.800 Well 79 00:05:04.800 --> 00:05:08.060 And then we go down and we say we're looking at it in a concrete way 80 00:05:08.060 --> 00:05:11.810 That's load forecasting 81 00:05:12.530 --> 00:05:14.690 Load forecasting of buildings 82 00:05:15.970 --> 00:05:20.250 We include a mixed development of urban space. 83 00:05:20.540 --> 00:05:22.880 There is also the problem of building type matching. 84 00:05:23.140 --> 00:05:24.920 There is also the issue of alignment. 85 00:05:25.120 --> 00:05:28.050 There is also the problem of optimizing regional energy allocation. 86 00:05:33.910 --> 00:05:38.660 So this is a mixed development called urban space. 87 00:05:39.320 --> 00:05:45.250 This is a development of Yangpu district, Yangpu district. 88 00:05:45.250 --> 00:05:47.340 It is such a plan. 89 00:05:47.520 --> 00:05:51.110 From here we see red he is a commercial office 90 00:05:51.280 --> 00:05:53.550 Yellow is what is this? 91 00:05:53.820 --> 00:05:55.750 To live is to live. 92 00:05:55.750 --> 00:05:59.340 Then there are, for example, commercial and residential. 93 00:05:59.340 --> 00:06:02.090 And greenfield factories and so on 94 00:06:02.370 --> 00:06:06.650 You can see it from the top of the color block. 95 00:06:06.650 --> 00:06:09.830 It is a combination of different functions. 96 00:06:10.440 --> 00:06:13.780 This is what we call a hybrid development 97 00:06:14.130 --> 00:06:17.770 Mixed development in terms of urban planning 98 00:06:17.910 --> 00:06:19.250 There may be your considerations 99 00:06:19.370 --> 00:06:20.890 Are all kinds of considerations 100 00:06:21.230 --> 00:06:24.430 If we look at energy planning, 101 00:06:24.430 --> 00:06:28.100 What does this hybrid development mean to us? 102 00:06:30.500 --> 00:06:32.020 This is a region 103 00:06:32.320 --> 00:06:34.080 Of course, this is a schematic. 104 00:06:34.380 --> 00:06:38.930 A range of such a range of space for development. 105 00:06:39.470 --> 00:06:40.890 Different functional configuration 106 00:06:40.890 --> 00:06:44.130 Its load distribution curve is different. 107 00:06:44.390 --> 00:06:49.920 For example, you are a business and office composition. 108 00:06:49.920 --> 00:06:54.090 Or a commercial office building consisting of a commercial office school. 109 00:06:54.550 --> 00:06:58.450 Then this will cause, that is, his load curve is different. 110 00:06:58.650 --> 00:07:02.310 The load curve will present a different case. 111 00:07:18.050 --> 00:07:19.610 For example, office building office 112 00:07:19.610 --> 00:07:21.140 The building is used during the day. 113 00:07:21.450 --> 00:07:22.490 Daytime recombination 114 00:07:22.690 --> 00:07:26.230 Then there is the hotel building and there is a compound in the evening. 115 00:07:26.630 --> 00:07:28.670 If you put it all together 116 00:07:29.090 --> 00:07:37.200 Relatively speaking, its composite curve can have a certain, that is, a function of balance. 117 00:07:37.370 --> 00:07:41.820 If there are some, that is to say, the use is just a part of the day. 118 00:07:41.820 --> 00:07:42.940 Part for the night 119 00:07:42.940 --> 00:07:44.580 If you fold it together 120 00:07:44.580 --> 00:07:51.890 For a space like this, the total load curve is more balanced. 121 00:07:56.590 --> 00:08:01.850 So this is what we call hybrid development and composite leveling 122 00:08:02.240 --> 00:08:10.810 For example, this is a residential building. 123 00:08:10.810 --> 00:08:12.390 Its compound is like this. 124 00:08:12.390 --> 00:08:14.990 Suppose that such a shape is such a shape. 125 00:08:15.700 --> 00:08:16.830 Then public service facilities 126 00:08:16.830 --> 00:08:18.070 Because everyone went to work during the day. 127 00:08:18.320 --> 00:08:19.210 Low load 128 00:08:19.480 --> 00:08:20.440 At home at night 129 00:08:20.440 --> 00:08:22.260 Then the load is higher. 130 00:08:22.850 --> 00:08:27.000 Public buildings public buildings work during the day 131 00:08:27.000 --> 00:08:28.740 So there is more load during the day. 132 00:08:28.740 --> 00:08:31.040 There will be no resurrection when you get off work at night. 133 00:08:31.480 --> 00:08:34.430 Then the hotel is late at night 134 00:08:34.430 --> 00:08:35.440 Less daytime 135 00:08:35.880 --> 00:08:40.450 If I fold these combinations together 136 00:08:40.980 --> 00:08:42.680 Let's see in the end its load is like this 137 00:08:43.030 --> 00:08:45.710 It's much more gentle in relative terms. 138 00:08:46.670 --> 00:08:49.650 This allows for a gentle load or a review of the comment. 139 00:08:50.750 --> 00:08:54.170 For energy, that means I have functional facilities. 140 00:08:54.450 --> 00:08:57.290 Its load is relatively stable. 141 00:08:57.490 --> 00:08:58.530 Load stability 142 00:08:58.710 --> 00:09:02.440 We know, that is to say, for functional devices. 143 00:09:03.270 --> 00:09:05.620 It runs at full capacity with the highest efficiency. 144 00:09:06.570 --> 00:09:09.010 That is to say, if we want to serve the object. 145 00:09:09.010 --> 00:09:10.330 Its load is stable. 146 00:09:10.550 --> 00:09:15.660 We can make our functional equipment can run efficiently. 147 00:09:16.300 --> 00:09:19.840 In fact, it has also played a role in energy conservation. 148 00:09:19.840 --> 00:09:21.360 Because it's less efficient later. 149 00:09:21.360 --> 00:09:24.320 It means that its emissions will increase. 150 00:09:24.320 --> 00:09:26.050 Energy consumption will increase 151 00:09:26.300 --> 00:09:33.410 Therefore, we say that through mixed development and a certain that is to say, a function of a match a ratio. 152 00:09:33.600 --> 00:09:39.690 Then it can play a role that is to say, energy saving. 153 00:09:44.730 --> 00:09:48.410 We are considering calling this load of various types. 154 00:09:48.410 --> 00:09:51.700 Consider a region of its load when. 155 00:09:52.890 --> 00:09:56.770 There are a number of factors that affect this. 156 00:09:57.270 --> 00:09:58.700 One is climate. 157 00:09:58.910 --> 00:10:00.730 Weather conditions 158 00:10:01.000 --> 00:10:02.240 Weather conditions determine him. 159 00:10:02.760 --> 00:10:06.420 Because we say the heat and cold load is to a large extent 160 00:10:06.560 --> 00:10:10.790 This is related to his climatic conditions and the local climatic conditions. 161 00:10:10.790 --> 00:10:14.290 Is that our north is not the same as the south of the compound. 162 00:10:15.090 --> 00:10:18.490 Then there is the situation with the building itself. 163 00:10:18.490 --> 00:10:20.540 Is your building an energy saving building? 164 00:10:20.710 --> 00:10:27.600 Does this mean that it will also affect his level of compound? 165 00:10:30.220 --> 00:10:37.840 And then there is the area and the area and the building. 166 00:10:38.020 --> 00:10:44.170 For example, the heat transfer coefficient of its windows in a building. 167 00:10:44.170 --> 00:10:46.150 Heat conduction coefficient of R strong, etc. 168 00:10:46.400 --> 00:10:48.980 Heat preservation, ventilation, etc. 169 00:10:49.320 --> 00:11:00.740 All of these are related, so this side, and that is to say, his, this is with the building and the area. 170 00:11:00.740 --> 00:11:06.590 For example, its equipment is the configuration of the situation and some problems in the system. 171 00:11:06.900 --> 00:11:09.290 Just say these are all influences 172 00:11:09.290 --> 00:11:13.980 That is to say, we are composite of some factors. 173 00:11:17.180 --> 00:11:18.730 This picture is also very interesting. 174 00:11:19.130 --> 00:11:24.990 That is to say, someone did a study like this. 175 00:11:25.260 --> 00:11:29.980 Found this is the floor 176 00:11:30.580 --> 00:11:33.010 This is the number of floors 177 00:11:33.010 --> 00:11:35.010 And this is a primary energy source 178 00:11:35.210 --> 00:11:38.570 Its heat demand is a heat demand. 179 00:11:38.730 --> 00:11:40.950 It turns out that the higher the number of floors 180 00:11:41.440 --> 00:11:43.910 It means that there is less demand for heat. 181 00:11:44.040 --> 00:11:45.140 This is the demand. 182 00:11:46.210 --> 00:11:46.750 That is to say 183 00:11:46.750 --> 00:11:49.030 So there is also a view that 184 00:11:49.210 --> 00:11:52.360 It will be more energy efficient to build more super-tall buildings. 185 00:11:52.360 --> 00:12:02.840 Therefore, of course, this is only from this aspect alone is to have such a study. 186 00:12:03.110 --> 00:12:04.980 Someone came up with the result of such a study. 187 00:12:09.400 --> 00:12:10.030 Well 188 00:12:10.030 --> 00:12:14.320 Then let's take a look at the west Hongqiao business district for example. 189 00:12:14.320 --> 00:12:18.670 That is to say, it's a compound of a need. 190 00:12:19.520 --> 00:12:26.390 West Hongqiao business district, its positioning is called a modern international metropolis of an important business. 191 00:12:26.390 --> 00:12:27.310 Gathering area 192 00:12:30.410 --> 00:12:32.470 And it is an integrated functional area. 193 00:12:34.300 --> 00:12:35.530 This is the main site. 194 00:12:35.850 --> 00:12:37.880 This is its development site. 195 00:12:39.220 --> 00:12:40.510 And then from its position 196 00:12:41.170 --> 00:12:42.200 Where it is 197 00:12:42.200 --> 00:12:45.220 This is the business district of xihong bridge we said. 198 00:12:45.490 --> 00:12:50.500 It is located at the Hongqiao railway station. 199 00:12:50.500 --> 00:12:53.170 And next to Hongqiao airport 200 00:12:53.170 --> 00:12:56.220 Then this is the international convention and exhibition center. 201 00:12:56.930 --> 00:12:59.920 A rooftop structure resembling a four-leaf clover. 202 00:13:00.350 --> 00:13:02.140 It's next to it 203 00:13:03.250 --> 00:13:06.720 Its main function is to say office exhibition. 204 00:13:07.470 --> 00:13:08.650 And the hotel 205 00:13:08.650 --> 00:13:12.410 It's like this, some of these buildings. 206 00:13:13.030 --> 00:13:14.020 Some buildings 207 00:13:14.640 --> 00:13:18.200 We have an analysis of it, and that's it. 208 00:13:19.650 --> 00:13:21.090 When the gum itself was developed 209 00:13:21.990 --> 00:13:25.810 According to its original design, it is in accordance with the ratio of its functions. 210 00:13:25.960 --> 00:13:27.630 Originally, its load curve is like this. 211 00:13:27.630 --> 00:13:29.360 This is the only piece I saw just now. 212 00:13:29.770 --> 00:13:31.660 It's probably this area, this area. 213 00:13:31.660 --> 00:13:35.910 In this area of this space, its total is a load of demand. 214 00:13:37.150 --> 00:13:40.120 According to the present plan, this is probably the case. 215 00:13:40.350 --> 00:13:41.760 A case of a red line 216 00:13:41.760 --> 00:13:43.650 This is the cold load of summer. 217 00:13:43.650 --> 00:13:46.930 Then this is the winter heat load. 218 00:13:47.530 --> 00:13:53.320 Then we make an adjustment on this basis to the ratio of the function of its building. 219 00:13:53.590 --> 00:13:55.990 That is to say, we have set up two scenarios. 220 00:13:56.720 --> 00:14:01.640 So scenario one and scenario two made some adjustments to the ratio. 221 00:14:02.040 --> 00:14:08.800 Then we found that the load of the space is changing. 222 00:14:09.080 --> 00:14:14.200 It becomes the blue line and the black line. 223 00:14:14.660 --> 00:14:15.120 It is 224 00:14:15.120 --> 00:14:18.270 Therefore, I would say that we have not adjusted much. 225 00:14:18.270 --> 00:14:22.300 But it can also be seen that he is through the function of the adjustment. 226 00:14:22.640 --> 00:14:29.250 There is still a certain impact on his needs. 227 00:14:31.850 --> 00:14:32.790 On this basis 228 00:14:32.790 --> 00:14:36.950 We also evaluated him on the review. 229 00:14:36.950 --> 00:14:43.440 Is the original planning and adjustment of the planning to do a is in accordance with his, for example, office. 230 00:14:43.440 --> 00:14:44.850 The area has been adjusted 231 00:14:45.500 --> 00:14:48.020 So many adjusted numbers before adjustment 232 00:14:48.020 --> 00:14:48.950 The so-called adjustment after the market. 233 00:14:48.950 --> 00:14:54.380 The situation we set up is that the office has increased. 234 00:14:54.380 --> 00:14:55.690 There has been a decrease in shopping malls. 235 00:14:55.690 --> 00:14:58.090 Hotels have also increased. 236 00:14:58.090 --> 00:14:59.700 Such a total area remains the same. 237 00:15:00.010 --> 00:15:01.310 In such a case 238 00:15:01.820 --> 00:15:06.000 The result is that several types have made an evaluation of its equalization. 239 00:15:06.380 --> 00:15:11.120 An evaluation is made by a statistical analysis method. 240 00:15:18.160 --> 00:15:18.650 Well 241 00:15:18.800 --> 00:15:26.580 What I said just now is that the purpose of dealing with and achieving parity is to mean that we are in this region. 242 00:15:26.580 --> 00:15:28.380 Its functional facilities. 243 00:15:28.580 --> 00:15:32.320 It can be more, that is to say, fully play a role. 244 00:15:33.040 --> 00:15:36.560 The functional facilities in these areas are generally in one. 245 00:15:36.720 --> 00:15:39.220 We will set up an energy station called the area. 246 00:15:39.550 --> 00:15:44.000 In other words, we set up a regional energy station to serve a certain area. 247 00:15:44.120 --> 00:15:44.670 Have 248 00:15:46.420 --> 00:15:50.230 So this is one, that is, the energy station is a concept map. 249 00:15:50.350 --> 00:15:52.750 This is not the energy station of Xu Hongqiao 250 00:15:53.330 --> 00:15:54.850 It is such a concept. 251 00:15:55.190 --> 00:15:58.550 Through a centralized such an energy station 252 00:15:58.870 --> 00:16:05.260 Then, through the regional pipe network to the cold heat for uncle. 253 00:16:11.080 --> 00:16:16.520 We are optimizing regional energy allocation in this region. 254 00:16:18.210 --> 00:16:21.930 What we have to consider in this respect 255 00:16:21.930 --> 00:16:25.900 For example, the store price system. 256 00:16:26.110 --> 00:16:30.590 For example, he because, for example, in Shanghai shop is divided into wind when the electricity price. 257 00:16:30.590 --> 00:16:32.290 Normal tariff 258 00:16:32.500 --> 00:16:35.890 It is this inside, it's different time, the price is different. 259 00:16:36.280 --> 00:16:40.770 That is to say, we come through our energy storage, for example. 260 00:16:41.220 --> 00:16:44.870 For example, the realization of electric energy storage in the evening of the sixth is the storage of heat and cold. 261 00:16:44.870 --> 00:16:46.400 Then provide daytime use 262 00:16:46.400 --> 00:16:53.270 In this way, we can say that we can get economic benefits. 263 00:16:53.680 --> 00:16:56.130 So this is one aspect 264 00:16:56.130 --> 00:17:00.710 Another is that we have to consider the configuration of different equipment when. 265 00:17:00.710 --> 00:17:03.180 Initial investment in its equipment 266 00:17:04.410 --> 00:17:07.020 And that is to say, the parameters of these devices. 267 00:17:07.270 --> 00:17:09.050 For example, the efficiency of power generation devices. 268 00:17:09.460 --> 00:17:10.650 Efficiency of gas boiler 269 00:17:11.040 --> 00:17:14.990 And then the cop of this refrigeration unit and so on 270 00:17:15.150 --> 00:17:18.260 Take all this into consideration. 271 00:17:19.030 --> 00:17:28.270 So this is an optimization of the energy station in this region. 272 00:17:28.270 --> 00:17:29.230 Configuration 273 00:17:29.590 --> 00:17:30.150 Right 274 00:17:32.900 --> 00:17:34.710 That means different configurations 275 00:17:34.920 --> 00:17:38.920 His idea is that the amount of cold is different from the cost of heat production. 276 00:17:39.060 --> 00:17:39.840 That's the price 277 00:17:40.030 --> 00:17:44.220 That is to say, to produce one is the cold quantity and heat of the kilowatt hour. 278 00:17:44.220 --> 00:17:50.850 I'm trying to optimize the combination of different energy sources. 279 00:17:51.190 --> 00:17:56.500 I can get different, that is to say, the cost can be different. 280 00:17:56.780 --> 00:17:58.060 From here we can see 281 00:17:58.260 --> 00:18:03.080 So here we pass the unit through the centrifugal refrigerator 282 00:18:03.080 --> 00:18:05.120 Then with the drum cooling 283 00:18:05.120 --> 00:18:08.220 Is the use of the night low electricity to refrigeration. 284 00:18:08.220 --> 00:18:11.720 The lowest cost of preparing the cold 285 00:18:13.570 --> 00:18:20.350 Then use the day, that is to say, pure daytime is the store to provide timely energy. 286 00:18:20.350 --> 00:18:22.520 This production cost is the highest. 287 00:18:23.610 --> 00:18:28.000 So we have a similar situation in heating.