Abstract

Rising awareness for the environment as well as concerns over the sustainability of fossil fuels has encouraged developed and developing countries to find alternative ways to enhance the thermal efficiency of current power systems. The thermal efficiency of power plants can be increased from 30 – 40 % up to 80 – 90 % through the implementation of a trigeneration system by recovering dissipated waste heat for other purposes. The trigeneration system can be defined as a technology that can produce simultaneous power, heating, and cooling energy from the same fuel source. Trigeneration System Cascade Analysis (TriGenSCA) methodology is an optimisation approach based on Pinch Analysis that has been used to establish the guidelines or the proper size of the trigeneration system. This paper proposes a modification of TriGenSCA by considering a multi-period of energy consumption to optimise the size of the utility in the centralised trigeneration system by considering the transmission and storage of energy losses in the Total Site system. There are six steps involved including data extraction, identification of time slices, Problem Table Algorithm (PTA), Multiple Utility Problem Table Algorithm (MU PTA), Total Site Problem Table Algorithm (TS PTA), and modified TriGenSCA. The methodology has been tested on the centralised nuclear trigeneration system in a Total Site System as a case study and results shown that thermal energy needed by the Pressurized Water Reactor (PWR) trigeneration system with transmission losses is 2,427 MW whereas thermal energy needed by the PWR trigeneration system without transmission losses is 2,424 MW. The TriGenSCA with consideration of transmission and storage energy losses is useful for engineers and designers to determine the exact value of energy for trigeneration plant.

Highlights

  • Rapid technological advancement and rising population growth have led to an increase in energy consumption worldwide

  • This paper proposes a modified Trigeneration System Cascade Analysis (TriGenSCA) by considering energy losses due to transmission and storage systems as well as multi-period energy demands to optimise the sizing centralised trigeneration system utilities

  • This paper extends the insight-based numerical method developed by Jamaluddin et al [10] to evaluate the optimal size of the centralised trigeneration system for the integration of Total Site Cooling, Heating and Power (TSCHP) in a variety of energy consumption

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Summary

Introduction

Rapid technological advancement and rising population growth have led to an increase in energy consumption worldwide. Improving thermal efficiency in existing systems is one way to conserve energy; i.e. by using waste heat for other applications such as seawater desalination, district heating and cooling In this context, trigeneration appears as a suitable technology because it can supply power, heating and cooling energy from the same source of fuel. This paper proposes a modified Trigeneration System Cascade Analysis (TriGenSCA) by considering energy losses due to transmission and storage systems as well as multi-period energy demands to optimise the sizing centralised trigeneration system utilities. Implementation of this comprehensive approach by considering transmission and storage energy losses may give users the advantage of determining the exact energy requirements which are closer to the actual trigeneration system, as well as minimising the power, heat and cool energy requirements of the utility and the Total Site system in demand fluctuations

Methodology and Case Study
Data Extraction
Identification of Time Slices
Cascade Analysis
Calculation of New Size of Utility in the Trigeneration System
Findings
Conclusions
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