A multi-stage joint planning and operation model for energy hubs considering integrated demand response programs

Mansouri, Seyed Amir; Ahmarinejad, Amir; Sheidaei, F.; Javadi, Mohammad Sadegh; Jordehi, Ahmad Rezaee; Nezhad, Ali Esmaeel; Catalão, João P.S.

doi:10.1016/j.ijepes.2022.108103

Cited by 114 publications

(40 citation statements)

References 64 publications

(62 reference statements)

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“…Also the results indicated that a MES can only reach net zero operational CEs using power-to-H 2 . Mansouri et al [29] proposed an investment and operation optimization framework for MES considering DR. The results indicate a 15.1% reduction of operating expenses (OpEx) through price-based load shifting.…”

Section: Literature Reviewmentioning

confidence: 99%

From prosumer to flexumer: Case study on the value of flexibility in decarbonizing the multi-energy system of a manufacturing company

Fleschutz¹,

Bohlayer²,

Braun³

et al. 2023

Preprint

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Digitalization and sector coupling enable companies to turn into flexumers. By using the flexibility of their multi-energy system (MES), they reduce costs and carbon emissions while stabilizing the electricity system. However, to identify the necessary investments in energy conversion and storage technologies to leverage demand response (DR) potentials, companies need to assess the value of flexibility. Therefore, this study quantifies the flexibility value of a production company's MES by optimizing the synthesis, design, and operation of a decarbonizing MES considering self-consumption optimization, peak shaving, and integrated DR based on hourly prices and carbon emission factors (CEFs). The detailed case study of a beverage company in northern Germany considers vehicle-to-X of powered industrial trucks, power-to-heat on multiple temperatures, wind turbines, photovoltaic systems, and energy storage systems (thermal energy, electricity, and hydrogen). We propose and apply novel data-driven metrics to evaluate the intensity of price-based and CEF-based DR. The results reveal that flexibility usage reduces decarbonization costs (by 19-80% depending on electricity and carbon removal prices), total annual costs, operating carbon emissions, energy-weighted average prices and CEFs, and fossil energy dependency. The results also suggest that a net-zero operational carbon emission MES requires flexibility, which, in an economic case, is provided by a combination of different flexible technologies and storage systems that complement each other. While the value of flexibility depends on various market and consumer-specific factors such as electricity or carbon removal prices, this study highlights the importance of demand flexibility for the decarbonization of MESs. Input Results MILP model of industrial MESCarbon offset prices elec. prices of two years hourly CEFs hourly elec. prices Wind turbine (kW/kW p ) PV (kW/kW p ) BEV availability Carbon emission constraints

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Section: Literature Reviewmentioning

confidence: 99%

From prosumer to flexumer: Case study on the value of flexibility in decarbonizing the multi-energy system of a manufacturing company

Fleschutz¹,

Bohlayer²,

Braun³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The uncertainties are addressed using the stochastic formulation that shows improved results. In [29], the resilience of DC microgrids is addressed using 3 stage hierarchical approach whereas in [30] the a two‐stage stochastic model is used to address the severe uncertainties of distributed generations and their impact on the overall system. In [31], a multi objective model is developed for the energy hub for converters’ variable efficiency, equipment deprivation yearly expansion of the load and energy prices.…”

Section: Introductionmentioning

confidence: 99%

A novel automated demand response control using fuzzy logic for islanded battery‐operated rural microgrids

Azeem

Memon

Baig

et al. 2023

IET Renewable Power Gen

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Islanded rural microgrid require continuous resource monitoring. Demand response schemes have been phenomenal in managing loads. However, urban demand response schemes are well equipped with market prices and peak time penalties to control deferrable loads. In rural microrids, regular loads such as fans, lights and water pumps are normally used that do not fall under category of deferrable loads. In addition, full liberty of utilizing regular load at any time, lack of awareness and no information of storage reserves make task of load management more complex. In this research fully automated two layered demand response scheme is designed for regular operating loads. The first layer control is load mode control. The mode of operation is decided on the state of charge (SoC) of battery. In second layer, fuzzy controller is designed on the consumer's routines, SoC and ambient temperature as membership function. Results are assessed in terms of consumers comfort and availablity of SoC. The load operation in automated demand response remained indentical to actual rutine operation as per consumer's desire with 5 to 7% deviation. In all modes of operation SoC levels remained 15% higher and heavy load operated 13.5% more compare to relevant study.

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Section: Introductionmentioning

confidence: 99%

“…This has necessitated the implementation of load shedding and has seen DR employed as a highly successful method for educating energy customers about the need to change their usage habits and secure incentives at the expense of acceptable discomposure. 8 In general, the DR can be classified into two categories, namely, incentive-based DR and pricebased DR. The price-based DR deals with the Dynamic Pricing (DP) mechanisms.…”

Section: Introductionmentioning

confidence: 99%

A novel hybrid Harris hawk optimization and sine cosine algorithm based home energy management system for residential buildings

Paul¹,

Hati

2023

Building Services Engineering Research and Technology

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Smart grid technology has given users the ability to regulate their home energy in a much more effective manner. In such scenarios, Home Energy Management (HEM) potentially becomes an arduous task, as it necessitates the optimal scheduling of smart appliances in order to reduce energy usage. In this research, a hybrid Harris Hawk Optimization-Sine Cosine Algorithm (hHHO-SCA) has been proposed to develop a meta-heuristic-based HEM system. The hybridization of HHO with SCA has been done to enhance the exploration and exploitation stages of HHO, hence improving its global search phase and effectively optimizing the energy usages. In addition to this, several knapsacks are utilized to guarantee that load demand for power users does not surpass a certain level during the peak hours. In terms of electricity prices and Peak to Average Ratio (PAR) reduction, the hybridization is demonstrated to be beneficial in achieving the objectives. Simulations are performed for a multi-family housing complex with a range of smart equipment. The results achieved with the proposed approach suggest that hHHO-SCA has been comparatively efficient in terms of cost reduction, and PAR, when compared to the other optimization techniques. Practical Application. This home energy management system can be applied to optimally schedule all the smart appliances in a building to minimize electricity consumption and provide the consumer with potential savings in electricity costs.

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A multi-stage joint planning and operation model for energy hubs considering integrated demand response programs

Cited by 114 publications

References 64 publications

From prosumer to flexumer: Case study on the value of flexibility in decarbonizing the multi-energy system of a manufacturing company

From prosumer to flexumer: Case study on the value of flexibility in decarbonizing the multi-energy system of a manufacturing company

A novel automated demand response control using fuzzy logic for islanded battery‐operated rural microgrids

A novel hybrid Harris hawk optimization and sine cosine algorithm based home energy management system for residential buildings

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