Use of energy management systems for performance monitoring of industrial load-shaping measures

Akbari, Hashem; Warren, M.; Almeida, Anı́bal T. de; Connell, Deborah; Harris, Jeffrey P.

doi:10.1016/0360-5442(88)90019-9

Cited by 9 publications

(4 citation statements)

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“…Na osnovu pregleda literature, može se zaključiti da veliki broj objavljenih radova u literaturi razmatra menadžment energije i energetsku efikasnost u različitim industrijama [1, 9,10,12,13,14,15,16,17,18,19,20,21,22,23,24,25]. Neki od radova navode standard ISO 50001 kao referencu za uspostavljanje sistema menadžmenta energije.…”

Section: Postavke Analizeunclassified

Energy management system certification in industry

Jovanovic

2014

Tehnika

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Section: Postavke Analizeunclassified

Energy management system certification in industry

Jovanovic

2014

Tehnika

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“…Although each industrial facility and its operation is unique, there are, nonetheless, significant similarities in electric load profiles and in the potential for implementing loadshaping measures. Akbari et al (1986) have discussed in detail the process and non-process loads in a few California industries and have identified applicable load-shaping measures to both types of loads. Those specific load-shaping measures recommended for the non-process loads in computer and electronics industries include efficiency improvement in lighting and airconditioning equipment, shifting of energy-intensive operations (such as charging electric forklift trucks) to off-peak periods, and the application of thermal storage for process and HVAC cooling.…”

Section: Load-shaping Potentialsmentioning

confidence: 99%

Analysis of energy use in building services of the industrial sector in California: Two case studies. Final report

Akbari¹,

Sezgen²

1991

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Energy-use patterns in many of California's fastest-growing industries are not typical of the existing mix of industries elsewhere in the U.S. Many California firms operate small-and medium-sized facilities housed in buildings used simultaneously or interchangeably over time for commercial (office, retail, warehouse) and industrial activities. In these industrial subsectors, the energy required for building services (providing occupant comfort and necessities like lighting, HVAC, office equipment, computers, etc.) may be at least as important as the more familiar process energy requirements--especially for electricity and on-peak demand. Elecmcity for building services is sometimes priced as if it were base loaded like process uses; in reality this load varies significantly according to occupancy schedules and cooling and heating loads, much as in any commercial building.Using informal field surveys, simulation studies, and detailed analyses of existing data (including utility commercial/industrial audit files), we studied the energy use of this industrial subsector through a multi-step procedure: (1) characterizing non-process building energy and power use in California industries, (2) identifying conservation and load-shaping opportunities in industrial building services, and (3) investigating industrial buildings and system design methodologies. In an earlier report, we addressed these issues by performing an extensive survey of the existing publicly available data, characterizing and comparing the building energy use in this sector. In this report, we address the above objectives by examining and analyzing energy use in two industrial case-study facilities in California. Based on the information for the case studies, we discuss the design consideration for these industrial buildings, characterize their energy use, and review their conservation and load-shaping potentials. In addition, we identify and discuss some research ideas for further investigation.This study concludes that the lighting and HVAC energy-use characteristics of high-tech industries (as represented by our case-study buildings) and their conservation potentials are com-.parable to those of office buildings. Simulating the impact of conservation measures commonly recommended for office buildings, we estimate that more than 50% of electricity and gas use for the building services in the two case-study facilities can be saved. Case studies in other regions and for other important industries can provide useful information to better understand the energy-use patterns and the impact of conservation and load-shaping measures on the industrial loads.

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“…In additional to the mentioned energy saving effect, the payback rate is also important for the EMS performance. Several EMS cases investigating the payback rate are illustrated as follows: EMS at a meat packing facility [46]; EMS in the food and kindred products industries [46]; EMS in a fish-processing plant [47]; Large distributed EMS in a magnetic tape plant [48]; Implementation of EMS for an integrated steel plant [49]; EMS installed at the factory of Kjøttcentralen Co. [19]; and Energy audit of an industrial site [50].…”

Section: For Ems Casesmentioning

confidence: 99%

The Development of Cloud Energy Management

et al. 2015

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Abstract:The energy management service (EMS) has been utilized for saving energy since 1982 by managing the energy usage of site or facilities through the microprocessor, computer, Ethernet, internet, and wireless sensor network. The development and represented function groups of EMS are illustrated in the supplementary file of this paper. Along with this tendency, a cloud EMS, named the intelligent energy management network (iEN), was launched by Chunghwa Telecom in 2011 and tested during a pilot run from 2012 to 2013. The cloud EMS integrated three service modes together, including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). This cloud EMS could reduce the facility cost and enable a continuously improved service for energy conservation. From the literature review, 32 selected EMS cases of whole site and single facility were chosen for calculating the energy savings and payback rate. According to the literature, the average energy savings by applying EMS are 11.6% and 21.4% for the whole site and single facility, respectively. The iEN was applied on 55 demo sites with the similar scale, the same kind of machines and approaching conditions. The testing sites include a factory, a complex building, and a residual building, 12 lighting systems and 8 air conditioning systems. According to the testing results, the average energy savings by applying iEN are 10% and 23.5% for the whole site and single facility, respectively. OPEN ACCESSEnergies 2015, 8 4358Comparing with the reported EMS cases, it was found that the energy savings by adopting the cloud EMS were only 70%-80% compared with those using the traditional EMS. Although the cloud EMS presented less energy savings, it revolutionized the traditional EMS by its innovative business model. Compared with the averaged 1.7 years payback period of the traditional EMS, more than 70% of the cloud EMS cases could pay back immediately for the service fees and without the equipment investment.Keywords: cloud energy management service (cloud EMS); intelligent energy management network (iEN); software as a service (SaaS); immediate payback

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Use of energy management systems for performance monitoring of industrial load-shaping measures

Cited by 9 publications

References 1 publication

Energy management system certification in industry

Energy management system certification in industry

Analysis of energy use in building services of the industrial sector in California: Two case studies. Final report

The Development of Cloud Energy Management

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