A systematic pinch approach to integrate stratified thermal energy storage in buildings

Hosseinnia, Seyed Mojtaba; Sorin, Mikhaı̈l

doi:10.1016/j.enbuild.2020.110663

Cited by 11 publications

(2 citation statements)

References 54 publications

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“…Other research on PA and ExA has been conducted to analyse ventilation system integration possibilities 57 and the effect of thermal energy storage integration. 58 The generic algorithm is applied to a case study adopted from Khalid et al 59 Figure 5 shows the building complex thermal system diagram (flowsheet diagram). To meet its thermal demand, the building is equipped with two boilers located in the technical room providing 320 kW using "Fuel", 12 flat-plate solar collectors and new streams identified as hot streams including the condensed boiler smoke and wasted heat from soapy laundry water.…”

Section: Case Studymentioning

confidence: 99%

A generic algorithm-based application for pinch-exergy prediction in process industries: A case study

Ibaaz¹,

Oudani

Harraki³

et al. 2022

Energy & Environment

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In the industrial sector, efficient production and optimal use of thermal energy are primary concerns for managers and engineers. Considerable research has been devoted to improving and promoting thermal energy efficiency, especially energy recovery in the context of sustainability. Pinch analysis is one of the most powerful methods in this regard. To maximise the energy recovery (MER), the pinch method is well-established in designing an optimal heat exchange network (HEN). Exergy analysis is combined with the pinch method to minimise the work potential loss (exergy loss) while ensuring maximum heat recovery. This study presents a generic algorithm built using Python language to predict and quantify energy and exergy targets in industrial processes. It provides a framework to guide experts and planners in efficiently using the combined analysis tools. The generic algorithm is based on advanced numerical and graphical tools. It provides exergy problem table algorithm (Ex–PTA) and grand composite curve (EHR and HRP) tools. For Δ T min = 10°C, the generic algorithm is implemented in a building complex case study. The energy targets for heating and cooling requirements are 316.2625 kW and 0 kW, respectively. The obtained exergy targets are less attractive given an improvement from advanced utility integration; this is due to the treated system (medium-temperature system) and not to the reliability and efficiency of the generic algorithm. To evaluate the generic algorithm calculations, they are executed in a low-temperature process in which pinch exergy analysis (PExA) has already been performed. The simulated and generated results are identical, demonstrating the reliability and effectiveness of the developed generic algorithm.

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Section: Case Studymentioning

confidence: 99%

A generic algorithm-based application for pinch-exergy prediction in process industries: A case study

Ibaaz¹,

Oudani

Harraki³

et al. 2022

Energy & Environment

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“…However, the impact of dynamic behavior of the waste heat source, and ever-changing temperature values, were not reflected in this study, which could raise serious questions about the relevance of the steady-state pinch method for such applications. Hosseinnia et al [16] proposed a dynamic pinch strategy that uses instantaneous energy targeting to handle changes in the heat capacity of waste heat and other renewable sources. Dynamic PA also allows for integration scenarios using thermal energy storage by accounting for charging/discharging timing.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Heat Recovery Approach for Designing Integrated Heating, Cooling, and Ventilation Systems for Greenhouses

2023

Self Cite

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Ventilation heat loss is one of the most important factors contributing to energy performance of greenhouses. This paper suggests a systematic method based on dynamic pinch analysis (PA) to design an integrated heating, cooling, and ventilation system that uses ventilation waste heat in a cost-effective and energy efficient way. A heat recovery system including an air handling unit, borehole thermal storage, and a heat pump is proposed to investigate all heat integration scenarios for an entire year. In the first step, the heat integration scenarios are reduced to a few typical days using a clustering technique. Then, a generic methodology for designing a heat exchanger network (HEN) for a dynamic system, ensuring both direct and indirect heat recovery, is presented and a set of HENs are designed according to the conditions of typical days. Afterwards, the best HEN design is selected among all design alternatives using a techno-economic analysis. The whole procedure is applied to a commercial greenhouse and the best HEN configuration and required equipment sizes are calculated. It is shown that the best-performing design for the greenhouse under study produces primary energy savings of 57%, resulting in the shortest payback period of 9.5 years among all design alternatives.

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Applying Process Integration for energy savings in buildings and building complexes

Kapustenko

Arsenyeva

2023

Handbook of Process Integration (PI)

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A systematic pinch approach to integrate stratified thermal energy storage in buildings

Cited by 11 publications

References 54 publications

A generic algorithm-based application for pinch-exergy prediction in process industries: A case study

A generic algorithm-based application for pinch-exergy prediction in process industries: A case study

A Systematic Heat Recovery Approach for Designing Integrated Heating, Cooling, and Ventilation Systems for Greenhouses

Applying Process Integration for energy savings in buildings and building complexes

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