Optimal design of multi-utility complex for a low carbon city in China integrating renewable energy

Yiqun Pan, Yunming Li, Jie Shi, Chunxiang Wang, Kwan Seok Jeong, Jaemin Kim, Ji Young Lee, Cameron Johnstone, Jun Hong, Ji Young Park, Gyoung Min Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

Abstract

There are many new city and district development projects ongoing in China, which are aimed at developing and building the low carbon emission cities of the future. The Energy Utilities sector is also facing new challenges from policy and regulations aimed at improving energy efficiency, adopting clean energy and mitigating environmental impact. As such, energy supply systems are becoming increasingly complex due to the installation and operation of multiple renewable energy systems. A Multi Utility Complex (MUC) has been proposed as a new and more effective way of constructing urban utility systems, in which facilities for utility services (e.g. energy supplies, water/sewage treatment and waste management plants) are physically installed at one site and managed by an integrated operating centre. When designing a MUC to be ‘cleaner’, more efficient and economical, determining an appropriate capacity of each component constituting the MUC is an essential and not trivial task due to the complexity of resource /energy flows and constraints associated with energy policy and regulations. To address this, an optimization design methodology has been adopted on the basis of a population-base optimization algorithm in support of cost-effective investment. The methodology is implemented in a software tool, ‘Plant Optimizer’, equipped with an urban utility demand profile modeller, the MUC package with different installation scenarios, analysis modules and reporting facility. This paper describes the optimizing methodology and functions of the software tool, and presents a case study to demonstrate the applicability.
LanguageEnglish
Title of host publicationEnergy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and B
Pages533-540
Number of pages8
Volume5
DOIs
Publication statusPublished - 12 Nov 2010

Publication series

NameASME 2010 International Mechanical Engineering Congress and Exposition
PublisherASME
Volume5

Fingerprint

Sewage treatment
Carbon
Energy policy
Energy resources
Waste management
Water supply
Environmental impact
Energy efficiency
Costs
Optimal design
Design optimization

Keywords

  • carbon emissions
  • optimal design
  • utilities
  • city
  • China
  • design
  • energy
  • renewable energy

Cite this

Pan, Y., Li, Y., Shi, J., Wang, C., Jeong, K. S., Kim, J., ... Park, G. M. (2010). Optimal design of multi-utility complex for a low carbon city in China integrating renewable energy. In Energy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and B (Vol. 5, pp. 533-540). (ASME 2010 International Mechanical Engineering Congress and Exposition; Vol. 5). https://doi.org/10.1115/IMECE2010-40354
Pan, Yiqun ; Li, Yunming ; Shi, Jie ; Wang, Chunxiang ; Jeong, Kwan Seok ; Kim, Jaemin ; Lee, Ji Young ; Johnstone, Cameron ; Hong, Jun ; Park, Ji Young ; Park, Gyoung Min. / Optimal design of multi-utility complex for a low carbon city in China integrating renewable energy. Energy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and B. Vol. 5 2010. pp. 533-540 (ASME 2010 International Mechanical Engineering Congress and Exposition).
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abstract = "There are many new city and district development projects ongoing in China, which are aimed at developing and building the low carbon emission cities of the future. The Energy Utilities sector is also facing new challenges from policy and regulations aimed at improving energy efficiency, adopting clean energy and mitigating environmental impact. As such, energy supply systems are becoming increasingly complex due to the installation and operation of multiple renewable energy systems. A Multi Utility Complex (MUC) has been proposed as a new and more effective way of constructing urban utility systems, in which facilities for utility services (e.g. energy supplies, water/sewage treatment and waste management plants) are physically installed at one site and managed by an integrated operating centre. When designing a MUC to be ‘cleaner’, more efficient and economical, determining an appropriate capacity of each component constituting the MUC is an essential and not trivial task due to the complexity of resource /energy flows and constraints associated with energy policy and regulations. To address this, an optimization design methodology has been adopted on the basis of a population-base optimization algorithm in support of cost-effective investment. The methodology is implemented in a software tool, ‘Plant Optimizer’, equipped with an urban utility demand profile modeller, the MUC package with different installation scenarios, analysis modules and reporting facility. This paper describes the optimizing methodology and functions of the software tool, and presents a case study to demonstrate the applicability.",
keywords = "carbon emissions, optimal design, utilities, city, China, design, energy, renewable energy",
author = "Yiqun Pan and Yunming Li and Jie Shi and Chunxiang Wang and Jeong, {Kwan Seok} and Jaemin Kim and Lee, {Ji Young} and Cameron Johnstone and Jun Hong and Park, {Ji Young} and Park, {Gyoung Min}",
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Pan, Y, Li, Y, Shi, J, Wang, C, Jeong, KS, Kim, J, Lee, JY, Johnstone, C, Hong, J, Park, JY & Park, GM 2010, Optimal design of multi-utility complex for a low carbon city in China integrating renewable energy. in Energy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and B. vol. 5, ASME 2010 International Mechanical Engineering Congress and Exposition, vol. 5, pp. 533-540. https://doi.org/10.1115/IMECE2010-40354

Optimal design of multi-utility complex for a low carbon city in China integrating renewable energy. / Pan, Yiqun; Li, Yunming; Shi, Jie; Wang, Chunxiang; Jeong, Kwan Seok; Kim, Jaemin; Lee, Ji Young; Johnstone, Cameron; Hong, Jun; Park, Ji Young; Park, Gyoung Min.

Energy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and B. Vol. 5 2010. p. 533-540 (ASME 2010 International Mechanical Engineering Congress and Exposition; Vol. 5).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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AU - Pan, Yiqun

AU - Li, Yunming

AU - Shi, Jie

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AU - Jeong, Kwan Seok

AU - Kim, Jaemin

AU - Lee, Ji Young

AU - Johnstone, Cameron

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AU - Park, Ji Young

AU - Park, Gyoung Min

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N2 - There are many new city and district development projects ongoing in China, which are aimed at developing and building the low carbon emission cities of the future. The Energy Utilities sector is also facing new challenges from policy and regulations aimed at improving energy efficiency, adopting clean energy and mitigating environmental impact. As such, energy supply systems are becoming increasingly complex due to the installation and operation of multiple renewable energy systems. A Multi Utility Complex (MUC) has been proposed as a new and more effective way of constructing urban utility systems, in which facilities for utility services (e.g. energy supplies, water/sewage treatment and waste management plants) are physically installed at one site and managed by an integrated operating centre. When designing a MUC to be ‘cleaner’, more efficient and economical, determining an appropriate capacity of each component constituting the MUC is an essential and not trivial task due to the complexity of resource /energy flows and constraints associated with energy policy and regulations. To address this, an optimization design methodology has been adopted on the basis of a population-base optimization algorithm in support of cost-effective investment. The methodology is implemented in a software tool, ‘Plant Optimizer’, equipped with an urban utility demand profile modeller, the MUC package with different installation scenarios, analysis modules and reporting facility. This paper describes the optimizing methodology and functions of the software tool, and presents a case study to demonstrate the applicability.

AB - There are many new city and district development projects ongoing in China, which are aimed at developing and building the low carbon emission cities of the future. The Energy Utilities sector is also facing new challenges from policy and regulations aimed at improving energy efficiency, adopting clean energy and mitigating environmental impact. As such, energy supply systems are becoming increasingly complex due to the installation and operation of multiple renewable energy systems. A Multi Utility Complex (MUC) has been proposed as a new and more effective way of constructing urban utility systems, in which facilities for utility services (e.g. energy supplies, water/sewage treatment and waste management plants) are physically installed at one site and managed by an integrated operating centre. When designing a MUC to be ‘cleaner’, more efficient and economical, determining an appropriate capacity of each component constituting the MUC is an essential and not trivial task due to the complexity of resource /energy flows and constraints associated with energy policy and regulations. To address this, an optimization design methodology has been adopted on the basis of a population-base optimization algorithm in support of cost-effective investment. The methodology is implemented in a software tool, ‘Plant Optimizer’, equipped with an urban utility demand profile modeller, the MUC package with different installation scenarios, analysis modules and reporting facility. This paper describes the optimizing methodology and functions of the software tool, and presents a case study to demonstrate the applicability.

KW - carbon emissions

KW - optimal design

KW - utilities

KW - city

KW - China

KW - design

KW - energy

KW - renewable energy

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M3 - Conference contribution book

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Pan Y, Li Y, Shi J, Wang C, Jeong KS, Kim J et al. Optimal design of multi-utility complex for a low carbon city in China integrating renewable energy. In Energy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and B. Vol. 5. 2010. p. 533-540. (ASME 2010 International Mechanical Engineering Congress and Exposition). https://doi.org/10.1115/IMECE2010-40354