Next Article in Journal
Artificial Neural Network Application for Partial Discharge Recognition: Survey and Future Directions
Next Article in Special Issue
Energy Simulation of a Holographic PVT Concentrating System for Building Integration Applications
Previous Article in Journal
Analysis and Performance Improvement of WPT Systems in the Environment of Single Non-Ferromagnetic Metal Plates
Previous Article in Special Issue
Code-to-Code Validation and Application of a Dynamic Simulation Tool for the Building Energy Performance Analysis
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Energies 2016, 9(8), 573; doi:10.3390/en9080573

Optimal Cooling Load Sharing Strategies for Different Types of Absorption Chillers in Trigeneration Plants

Department of Mechanical Engineering, University Rovira i Virgili, CREVER-Research Group on Applied Thermal Engineering, Avda. Països Catalans 26, Tarragona 43007, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Francesco Calise
Received: 16 March 2016 / Revised: 8 July 2016 / Accepted: 11 July 2016 / Published: 25 July 2016
(This article belongs to the Special Issue Simulation of Polygeneration Systems)
View Full-Text   |   Download PDF [7932 KB, uploaded 25 July 2016]   |  

Abstract

Trigeneration plants can use different types of chillers in the same plant, typically single effect and double effect absorption chillers, vapour compression chillers and also cooling storage systems. The highly variable cooling demand of the buildings connected to a district heating and cooling (DHC) network has to be distributed among these chillers to achieve lower operating costs and higher energy efficiencies. This problem is difficult to solve due to the different partial load behaviour of each chiller and the different chiller combinations that can cover a certain cooling demand using an appropriate sizing of the cooling storage. The objective of this paper is to optimize the daily plant operation of an existing trigeneration plant based on cogeneration engines and to study the optimal cooling load sharing between different types of absorption chillers using a mixed integer linear programming (MILP) model. Real data from a trigeneration plant connected to a DHC close to Barcelona (Spain) is used for the development of this model. The cooling load distribution among the different units is heavily influenced by the price of the electricity sold to the grid which rules the duration of the operation time of the engines. The main parameter to compare load distribution configurations is the primary energy saving indicator. Cooling load distribution among the different chillers changes also with the load of the whole plant because the chiller performance changes with load. View Full-Text
Keywords: trigeneration; absorption chillers; optimal operation; partial load trigeneration; absorption chillers; optimal operation; partial load
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Conte, B.; Bruno, J.C.; Coronas, A. Optimal Cooling Load Sharing Strategies for Different Types of Absorption Chillers in Trigeneration Plants. Energies 2016, 9, 573.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top