Abstract

Creating a definition of the features and the architecture of a new Energy Management Software (EMS) is complex because different professionals will be involved in creating that definition and in using the tool. To simplify this definition and aid in the eventual selection of an existing EMS to fit a specific need, a set of metrics that considers the primary issues and drawbacks of the EMS is decisive. This study proposes a set of metrics to evaluate and compare EMS applications. Using these metrics will allow professionals to highlight the tendencies and detect the drawbacks of current EMS applications and to eventually develop new EMS applications based on the results of the analysis. This study presents a list of the applications to be examined and describes the primary issues to be considered in the development of a new application. This study follows the Systemic Quality Model (SQMO), which has been used as a starting point to develop new EMS, but can also be used to select an existing EMS that fits the goals of a company. Using this type of analysis, we were able to detect the primary features desired in an EMS software. These features are numerically scaled, allowing professionals to select the most appropriate EMS that fits for their purposes. This allows the development of EMS utilizing an iterative and user-centric approach. We can apply this methodology to guide the development of future EMS and to define the priorities that are desired in this type of software.

Highlights

  • The topic of saving energy in regards to protecting the environment was first discussed in 1980 when the term “sustainable environment” was officially mentioned by the International Union for Conservation of Nature in their World Conservation Strategy report [1]

  • The development of Energy Management Systems (EMS) for domestic users was accelerated by the first trials in this field of well-known international companies that occurred approximately five years ago; incidentally, the trials were unsuccessful, and the projects were terminated [2,3]

  • WWiizzaarrdd ooff AACCEE EEnneerrggyy MMaannaaggeemmeenntt SSyysstteemmss ((EEMMSS)), wwhhiicchh iinntteennddss ttoo oobbttaaiinn iinnffoorrmmaattiioonn ffrroomm tthheeuusseerruusisningggagmamifiicfiactaiotinontecthecnhiqnuiqeus.eOs.nOtnhethteextteyxotuycoaun craeandr:e“aEdn:e“rEgnye-mrgeyt-emr, ethteere, ntheregeyn-meregtyermis erteeardiys troeagduyidteoygouuidine yyoouur ipnatyhoutor epnaetrhgytoefefinceiregnycye.ffIitcwieinllcyb.eIut pwdialltebdeeuvpedryatteimd eevyeoruy itnimtroedyuocue innetwroidnufocermnaetwioninafonrdmeavteioryn taimnde eyvoeuryaptpimlyeaynoiumappropvlyemanenimt. pArnodvenmowenmt. yAlnodvendoswavmery.l.o.vLeedt’ssagvoerf...or Ltheet’ostghoerfovratlvheeso!t”h.er valves !”. In this Study, we focus on the methodology to determine primary metrics to be considered in the imInptlheims eSntutadtyio, wn e(ofrosceulsecotniotnh)eomf EetMhoSd. ology to determine primary metrics to be considered in the implementation of EMS. 2

Read more

Summary

Introduction

The topic of saving energy in regards to protecting the environment was first discussed in 1980 when the term “sustainable environment” was officially mentioned by the International Union for Conservation of Nature in their World Conservation Strategy report [1]. The development of Energy Management Systems (EMS) for domestic users was accelerated by the first trials in this field of well-known international companies that occurred approximately five years ago; incidentally, the trials were unsuccessful, and the projects were terminated [2,3]. This market is quite unique and unstructured. To provide users with necessary information in a convenient manner, we have developed a set of metrics taking into account that the application evaluation should be quick and simple. We explain why prevailing tendencies include behavioral science and gamification theories and how these improve EMS and provide opportunities for scholars and energy companies to enhance environmental sustainability

Tendencies of the EMS Market
Behavioral Science
Level 0
Level 1
Level 2
Level 3
Metrics
Long List of Energy-Related Applications
Connection to the learning objectives
1: Information is poorly structured 3
Satisfaction
Discussion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.