Economic and environmental aspects of the component sizing for a stand-alone building energy system: A case study |
| |
| Affiliation: | 1. Blood Diseases Institute, Xuzhou Medical College, Xuzhou, Jiangsu, China;2. Jiangsu Key Laboratory of Bone Marrow Stem Cell, Xuzhou Medical College, Xuzhou, Jiangsu, China;3. Insititute of Nervous System Diseases, Xuzhou Medical College, Xuzhou, Jiangsu, China;4. Department of Hematology, Affiliated Hospital of Xuzhou Medical College, Xuzhou, Jiangsu, China;1. Univ. Lyon, INSA Lyon, CNRS, CETHIL, UMR5008, Villeurbanne, F-69621, France;2. Bureau de Recherches Géologiques et Minières (BRGM), 3 Avenue Claude Guillemin, 45060, Orléans CEDEX 2, France;3. TECSOL, Tecnosud, 105 Avenue Alfred Kastler, BP 90434 66004, Perpignan, France;1. Department of Energy Systems Engineering, Faculty of Engineering, Islamic Azad University-South Tehran Branch, Tehran, Iran;2. Young Researchers and Elite Club, South Tehran Branch, Islamic Azad University, Tehran, Iran;3. Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, Ontario, Canada;1. School of Engineering, University of Aberdeen, Aberdeen, UK;2. Centre for Energy Transition, University of Aberdeen, Aberdeen, UK;3. Faculty of Engineering, Northumbria University, Newcastle upon Tyne, UK;4. School of Chemical Engineering and Technology, Xi''an Jiaotong University, Xi''an, China;5. Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK |
| |
| Abstract: | When designing a building energy system based on renewable energy sources, a major challenge is the suitable sizing of its components. In this paper, a simulation tool is presented for determining the optimal sizes of the main components of a stand-alone building energy system which integrates both thermal and electric renewable energy sources. Since the control of this multisource energy system is a non-trivial, multivariable control problem, particular emphasis is placed on the energy management system. A control structure based on model predictive control is proposed, whereas the underlying optimal control problem is formulated as a mixed-integer linear programming problem.The simulation tool developed is successfully applied on the specific case of an alpine lodge. A set of potential configurations, each being optimal with respect to both the net present costs and the global warming potential, is generated by analyzing the system for various component sizes. Out of this set, the decision makers can choose the most cost efficient configuration fulfilling their specifications. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
