Impacts of Solar PV, Battery Storage and HVAC Set Point Adjustments on Energy Savings and Peak Demand Reduction Potentials in Buildings

Pamungkas, Dany; Pipattanasomporn, Manisa; Rahman, Saifur; Hariyanto, Nanang; Suwarno, &

doi:10.23919/icue-gesd.2018.8635736

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…daylight and weather conditions) (Saikovski, 2017; Meneghetti et al. , 2018; Pamungkas et al ., 2019).…”

Section: Results and Framework Developmentmentioning

confidence: 99%

“…Reducing warehousing demand for electrical energy and fuels involves the adoption of utilities that can help make the company's business more economically and environmentally sustainable. In the examined literature, four systems have explicitly been called into question, namely photovoltaic panels for self-production (Meneghetti et al ., 2018; Pamungkas et al ., 2019), intelligent heating, ventilation and air conditioning (HVAC) systems (Pratt, 2017), liquid air energy storage (Foster et al ., 2018) and thermosiphon-based seasonal cold storage (Li et al ., 2020). As heating, ventilation and air-cooling operations are amongst the most energy-consuming in a warehouse (Bartolini et al ., 2019), most of the aforementioned energy-efficiency measures can be used to mitigate this impact.…”

Section: Results and Framework Developmentmentioning

confidence: 99%

“…For instance, the impact deriving from the implementation of photovoltaic panels can differ considerably according to numerous factors such as site location (e.g. daylight and weather conditions) (Saikovski, 2017;Meneghetti et al, 2018;Pamungkas et al, 2019).…”

Section: Operational Practicesmentioning

confidence: 99%

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Greening warehouses through energy efficiency and environmental impact reduction: a conceptual framework based on a systematic literature review

Perotti,

Colicchia

2023

IJLM

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PurposeThe purpose of this paper is to propose a framework of green strategies as a combination of energy-efficiency measures and solutions towards environmental impact reduction for improving environmental sustainability at logistics sites. Such measures are examined by discussing the related impacts, motivations and barriers that could influence the measures' adoption. Starting from the framework, directions for future research in this field are outlined.Design/methodology/approachThe proposed framework was developed starting from a systematic literature review (SLR) approach on 60 papers published from 2008 to 2022 in international peer-reviewed journals or conference proceedings.FindingsThe framework identifies six main areas of intervention (“green strategies”) towards green warehousing, namely Building, Utilities, Lighting, Material Handling and Automation, Materials and Operational Practices. For each strategy, specific energy-efficiency measures and solutions towards environmental impact reduction are further pinpointed. In most cases, “green-gold” measures emerge as the most appealing, entailing environmental and economic benefits at the same time. Finally, for each measure the relationship with the measures' primary impacts is discussed.Originality/valueFrom an academic viewpoint, the framework fills a major gap in the scientific literature since, for the first time, this study elaborates the concept of green warehousing as a result of energy-efficiency measures and solutions towards environmental impact reduction. A classification of the main areas of intervention (“green strategies”) is proposed by adopting a holistic approach. From a managerial perspective, the paper addresses a compelling need of practitioners – e.g. logistics service providers (LSPs), manufacturers and retailers – for practices and solutions towards greener warehousing processes to increase energy efficiency and decrease the environmental impact of the practitioners' logistics facilities. In this sense, the proposed framework can provide valuable support for logistics managers that are about to approach the challenge of turning the managers' warehouses into greener nodes of the managers' supply chains.

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“…daylight and weather conditions) (Saikovski, 2017; Meneghetti et al. , 2018; Pamungkas et al ., 2019).…”

Section: Results and Framework Developmentmentioning

confidence: 99%

Section: Results and Framework Developmentmentioning

confidence: 99%

See 1 more Smart Citation

Greening warehouses through energy efficiency and environmental impact reduction: a conceptual framework based on a systematic literature review

Perotti,

Colicchia

2023

IJLM

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“…In the area of the environmental impact due to warehouse building, the energy performance in warehouses is mainly affected by the general building characteristics that determine the consumption due to lighting or HVAC systems [32][33][34]. Concerning the annual heating demand, three alternatives for reducing electrical energy consumption and peak demand based on rooftop solar panels, battery energy storage, and HVAC set point adjustments are compared in [35]. A method of obtaining energy savings by adjusting HVAC set points based on occupant comfort, measured using the predicted mean vote and occupancy information, is proposed by Ardiyanto et al [36].…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model

et al. 2020

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In recent years, the continuous increase of greenhouse gas emissions has led many companies to investigate the activities that have the greatest impact on the environment. Recent studies estimate that around 10% of worldwide CO2 emissions derive from logistical supply chains. The considerable amount of energy required for heating, cooling, and lighting as well as material handling equipment (MHE) in warehouses represents about 20% of the overall logistical costs. The reduction of warehouses’ energy consumption would thus lead to a significant benefit from an environmental point of view. In this context, sustainable strategies allowing the minimization of the cost of energy consumption due to MHE represent a new challenge in warehouse management. Consistent with this purpose, a two-step optimization model based on integer programming is developed in this paper to automatically identify an optimal schedule of the material handling activities of electric mobile MHEs (MMHEs) (i.e., forklifts) in labor-intensive warehouses from profit and sustainability perspectives. The resulting scheduling aims at minimizing the total cost, which is the sum of the penalty cost related to the makespan of the material handling activities and the total electricity cost of charging batteries. The approach ensures that jobs are executed in accordance with priority queuing and that the completion time of battery recharging is minimized. Realistic numerical experiments are conducted to evaluate the effects of integrating the scheduling of electric loads into the scheduling of material handling operations. The obtained results show the effectiveness of the model in identifying the optimal battery-charging schedule for a fleet of electric MMHEs from economic and environmental perspectives simultaneously.

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Offsetting Commercial Structure Electric Cooling Loads – Technical Analysis Using Grid Connected PV

Acosta,

Mandal,

Senjyu

2023

2023 IEEE Industry Applications Society Annual Meeting (IAS)

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Impacts of Solar PV, Battery Storage and HVAC Set Point Adjustments on Energy Savings and Peak Demand Reduction Potentials in Buildings

Cited by 4 publications

References 6 publications

Greening warehouses through energy efficiency and environmental impact reduction: a conceptual framework based on a systematic literature review

Greening warehouses through energy efficiency and environmental impact reduction: a conceptual framework based on a systematic literature review

Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model

Offsetting Commercial Structure Electric Cooling Loads – Technical Analysis Using Grid Connected PV

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