TOWARDS THE OPTIMAL DESIGN AND OPERATION OF MULTI-ENERGY SYSTEMS: THE "EFFICITY" PROJECT

被引:0
作者
Zatti, Matteo [1 ,2 ]
Gabba, Marco [2 ]
Rossi, Michele [3 ]
Morini, Mirko [4 ]
Gambarotta, Agostino [4 ]
Martelli, Emanuele [1 ]
机构
[1] Politecn Milan, Dept Energy, Via Lambruschini 4, I-20133 Milan, Italy
[2] Energy & Environm Lab Piacenza, Via Nino Bixio 27-C, I-29121 Piacenza, Italy
[3] SIRAM, Milan, Italy
[4] Univ Studies Parma, Interdept Ctr Energy & Environm, Parco Area Sci 181-A, I-43124 Parma, Italy
来源
ENVIRONMENTAL ENGINEERING AND MANAGEMENT JOURNAL | 2018年 / 17卷 / 10期
关键词
carbon tax; design optimization; district energy systems; tri-generation; ENERGY-SYSTEMS; OPTIMIZATION; ALGORITHM;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The development of Multi-Energy Systems (MES) or District Energy Systems (DES) requires suitable design and operation optimization tools, in order to assess their feasibility and economic profitability. These tools can be helpful in choosing the proper technologies and also in the perspective of defining proper incentive or taxation schemes. A critical result of the analysis of MES is that, when optimizing their design, the operation strategy and the part load behavior of the units must be considered in the optimization model. This way, the model is to be formulated as a two-stage problem, where the design and the operation variables are optimized in the first and in the second stage, respectively. In order to guarantee the computational tractability, the scheduling/operation problem is solved for a limited set of typical and extreme periods. We have developed a Mixed Integer Linear Programming model to solve this design optimization problem, for which we have linearized the off-design and the size effects of performances and costs for the technologies considered in the case study. The model has been applied to optimize the design of a district energy system for the University of Parma Campus in Northern Italy.
引用
收藏
页码:2409 / 2419
页数:11
相关论文
共 19 条
  • [1] [Anonymous], SOL DISTR HEAT GUID
  • [2] Barbaro C., 2009, THESIS
  • [3] Birge JR, 2011, SPRINGER SER OPER RE, P3, DOI 10.1007/978-1-4614-0237-4
  • [4] DESOD: a mathematical programming tool to optimally design a distributed energy system
    Bracco, Stefano
    Dentici, Gabriele
    Siri, Silvia
    [J]. ENERGY, 2016, 100 : 298 - 309
  • [5] Optimization of a Distributed Cogeneration System with solar district heating
    Buoro, Dario
    Pinamonti, Piero
    Reini, Mauro
    [J]. APPLIED ENERGY, 2014, 124 : 298 - 308
  • [6] Two-stage MINLP algorithm for the optimal synthesis and design of networks of CHP units
    Elsido, Cristina
    Bischi, Aldo
    Silva, Paolo
    Martelli, Emanuele
    [J]. ENERGY, 2017, 121 : 403 - 426
  • [7] Multi-objectives, multi-period optimization of district energy systems: I. Selection of typical operating periods
    Fazlollahi, Samira
    Bungener, Stephane Laurent
    Mandel, Pierre
    Becker, Gwenaelle
    Marechal, Francois
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2014, 65 : 54 - 66
  • [8] Optimal design of multi-energy systems with seasonal storage
    Gabrielli, Paolo
    Gazzani, Matteo
    Martelli, Emanuele
    Mazzotti, Marco
    [J]. APPLIED ENERGY, 2018, 219 : 408 - 424
  • [9] A library for the simulation of smart energy systems: the case of the Campus of the University of Parma
    Gambarotta, Agostino
    Morini, Mirko
    Rossi, Michele
    Stonfer, Matteo
    [J]. 8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105 : 1776 - 1781
  • [10] Impact of different time series aggregation methods on optimal energy system design
    Kotzur, Leander
    Markewitz, Peter
    Robinius, Martin
    Stolten, Detlef
    [J]. RENEWABLE ENERGY, 2018, 117 : 474 - 487