4 results on '"complex urban energy system"'
Search Results
2. Investment Planning Methodology for Complex Urban Energy Systems Applied to a Hospital Site
- Author
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Bastien Bornand, Luc Girardin, Francesca Belfiore, Jean-Loup Robineau, Stéphane Bottallo, and François Maréchal
- Subjects
complex urban energy system ,integrated energy systems ,hospital ,investment planning model ,multi-objective multi-period optimization ,process integration ,General Works - Abstract
Industrial process integration based on mixed integer linear programming has been used for decades to design and improve industrial processes. The technique has later been extended to solve multi-period and multi-scale problems for the design of urban energy systems. Assistance is indeed required for the elaboration of coordinated investment scheduling strategies to promote renewable and efficient urban energy infrastructure shaping the future energy context for the next decades. Major energy consumers, such as hospital complexes, airports, or educational campuses can act as a driving force for the development of renewable energy cities by attracting profitable large-scale energy networks and infrastructure. The proposed methodology generates optimal alternatives for the replacement, in a long-term perspective, of the various energy supply units and systems considering the evolution of the energy demand and the availability of the energy resources. Energy integration techniques are coupled to a parametric multi-objective optimization routine to select and size the energy equipment with both financial profitability and CO2 emission reduction as objectives. The originality of the developed method lies in the integration of a multi-period mixed integer linear programming formulation to generate long-term investment planning scenarios. The method has been demonstrated on a complex of eight hospitals totaling 466,000 m2 and an operating budget of 1.85 billion USD per year. The energy integration of new centralized and decentralized equipment has been evaluated on a monthly basis over four periods until the year 2035. The results show that among the four scenarios identified, the most optimistic alternative allows to decrease the final energy consumption of about 36%, cut the CO2 emissions by a half, multiply the renewable energy share by a factor 3.5 while reducing the annual total cost by 24%. This scenario considers mainly the integration of a very low temperature district heating with decentralized heat pumps to satisfy the heat requirements below 75°C, as well as heat recovery systems and the refurbishment of about 33% of the building stock.
- Published
- 2020
- Full Text
- View/download PDF
3. Editorial: Emerging Technologies for Sustainable Development: From Smart Cities to Circular Economy
- Author
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Jin Xuan, Lip Huat Saw, and Agus P. Sasmito
- Subjects
Sustainable development ,Battery (electricity) ,Economics and Econometrics ,Engineering ,Wind power ,complex urban energy system ,Renewable Energy, Sustainability and the Environment ,business.industry ,Emerging technologies ,Circular economy ,syngas production ,solar energy ,Energy Engineering and Power Technology ,energy business ,Environmental economics ,Solar energy ,solar desalination ,General Works ,Fuel Technology ,wind energy ,business ,Solar desalination - Published
- 2021
- Full Text
- View/download PDF
4. Investment Planning Methodology for Complex Urban Energy Systems Applied to a Hospital Site
- Author
-
François Maréchal, Bastien Bornand, Luc Girardin, Stéphane Bottallo, Jean-Loup Sylvain Robineau, and Francesca Belfiore
- Subjects
Economics and Econometrics ,Total cost ,Computer science ,020209 energy ,Energy Engineering and Power Technology ,lcsh:A ,Context (language use) ,02 engineering and technology ,investment planning model ,020401 chemical engineering ,Heat recovery ventilation ,Process integration ,0202 electrical engineering, electronic engineering, information engineering ,process integration ,Energy supply ,hospital ,0204 chemical engineering ,complex urban energy system ,Renewable Energy, Sustainability and the Environment ,business.industry ,Environmental economics ,Investment (macroeconomics) ,Renewable energy ,Fuel Technology ,integrated energy systems ,multi-objective multi-period optimization ,Profitability index ,lcsh:General Works ,business - Abstract
Industrial process integration based on mixed integer linear programming has been used for decades to design and improve industrial processes. The technique has later been extended to solve multi-period and multi-scale problems for the design of urban energy systems. Assistance is indeed required for the elaboration of coordinated investment scheduling strategies to promote renewable and efficient urban energy infrastructure shaping the future energy context for the next decades. Major energy consumers, such as hospital complexes, airports, or educational campuses can act as a driving force for the development of renewable energy cities by attracting profitable large-scale energy networks and infrastructure. The proposed methodology generates optimal alternatives for the replacement, in a long-term perspective, of the various energy supply units and systems considering the evolution of the energy demand and the availability of the energy resources. Energy integration techniques are coupled to a parametric multi-objective optimization routine to select and size the energy equipment with both financial profitability and CO2 emission reduction as objectives. The originality of the developed method lies in the integration of a multi-period mixed integer linear programming formulation to generate long-term investment planning scenarios. The method has been demonstrated on a complex of eight hospitals totaling 466,000 m2 and an operating budget of 1.85 billion USD per year. The energy integration of new centralized and decentralized equipment has been evaluated on a monthly basis over four periods until the year 2035. The results show that among the four scenarios identified, the most optimistic alternative allows to decrease the final energy consumption of about 36%, cut the CO2 emissions by a half, multiply the renewable energy share by a factor 3.5 while reducing the annual total cost by 24%. This scenario considers mainly the integration of a very low temperature district heating with decentralized heat pumps to satisfy the heat requirements below 75°C, as well as heat recovery systems and the refurbishment of about 33% of the building stock.
- Published
- 2020
- Full Text
- View/download PDF
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