FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2019507187> ?p ?o ?g. }

• W2019507187 endingPage "722" @default.
• W2019507187 startingPage "711" @default.
• W2019507187 abstract "Most recent improvements in battery and electric vehicle (EV) technologies, combined with some favorable off-peak charging rates and an enormous PV potential, make California a prime market for electric vehicle as well as stationary storage adoption. However, EVs or plug-in hybrids, which can be seen as a mobile energy storage, connected to different buildings throughout the day, constitute distributed energy resources (DER) markets and can compete with stationary storage, onsite energy production (e.g. fuel cells, PV) at different building sites. Sometimes mobile storage is seen linked to renewable energy generation (e.g. PV) or as resource for the wider macro-grid by providing ancillary services for grid-stabilization. In contrast, this work takes a fundamentally different approach and considers buildings as the main hub for EVs/plug-in hybrids and considers them as additional resources for a building energy management system (EMS) to enable demand response or any other building strategy (e.g. carbon dioxide reduction). To examine the effect of, especially, electric storage technologies on building energy costs and carbon dioxide (CO2) emissions, a distributed-energy resources adoption problem is formulated as a mixed-integer linear program with minimization of annual building energy costs or CO2 emissions. The mixed-integer linear program is applied to a set of 139 different commercial building types in California, and the aggregated economic and environmental benefits are reported. To show the robustness of the results, different scenarios for battery performance parameters are analyzed. The results show that the number of EVs connected to the California commercial buildings depend mostly on the optimization strategy (cost versus CO2) of the building EMS and not on the battery performance parameters. The complexity of the DER interactions at buildings also show that a reduction in stationary battery costs increases the local PV adoption, but can also increase the fossil based onsite electricity generation, making an holistic optimization approach necessary for this kind of analyses." @default.
• W2019507187 created "2016-06-24" @default.
• W2019507187 creator A5004974622 @default.
• W2019507187 creator A5006187331 @default.
• W2019507187 creator A5016341385 @default.
• W2019507187 creator A5032508490 @default.
• W2019507187 creator A5046835130 @default.
• W2019507187 creator A5075258027 @default.
• W2019507187 creator A5086928362 @default.
• W2019507187 date "2013-04-01" @default.
• W2019507187 modified "2023-09-27" @default.
• W2019507187 title "Electric storage in California’s commercial buildings" @default.
• W2019507187 cites W106711868 @default.
• W2019507187 cites W1607275563 @default.
• W2019507187 cites W1910138508 @default.
• W2019507187 cites W1990912241 @default.
• W2019507187 cites W1993556968 @default.
• W2019507187 cites W1995202024 @default.
• W2019507187 cites W2005805347 @default.
• W2019507187 cites W2017428530 @default.
• W2019507187 cites W2023988949 @default.
• W2019507187 cites W2025101873 @default.
• W2019507187 cites W2035837781 @default.
• W2019507187 cites W2054809246 @default.
• W2019507187 cites W2061771380 @default.
• W2019507187 cites W2076018295 @default.
• W2019507187 cites W2098733484 @default.
• W2019507187 cites W2160804420 @default.
• W2019507187 cites W2803736209 @default.
• W2019507187 doi "https://doi.org/10.1016/j.apenergy.2012.11.033" @default.
• W2019507187 hasPublicationYear "2013" @default.
• W2019507187 type Work @default.
• W2019507187 sameAs 2019507187 @default.
• W2019507187 citedByCount "70" @default.
• W2019507187 countsByYear W20195071872013 @default.
• W2019507187 countsByYear W20195071872014 @default.
• W2019507187 countsByYear W20195071872015 @default.
• W2019507187 countsByYear W20195071872016 @default.
• W2019507187 countsByYear W20195071872017 @default.
• W2019507187 countsByYear W20195071872018 @default.
• W2019507187 countsByYear W20195071872019 @default.
• W2019507187 countsByYear W20195071872020 @default.
• W2019507187 countsByYear W20195071872021 @default.
• W2019507187 countsByYear W20195071872022 @default.
• W2019507187 countsByYear W20195071872023 @default.
• W2019507187 crossrefType "journal-article" @default.
• W2019507187 hasAuthorship W2019507187A5004974622 @default.
• W2019507187 hasAuthorship W2019507187A5006187331 @default.
• W2019507187 hasAuthorship W2019507187A5016341385 @default.
• W2019507187 hasAuthorship W2019507187A5032508490 @default.
• W2019507187 hasAuthorship W2019507187A5046835130 @default.
• W2019507187 hasAuthorship W2019507187A5075258027 @default.
• W2019507187 hasAuthorship W2019507187A5086928362 @default.
• W2019507187 hasBestOaLocation W20195071872 @default.
• W2019507187 hasConcept C119599485 @default.
• W2019507187 hasConcept C121332964 @default.
• W2019507187 hasConcept C127413603 @default.
• W2019507187 hasConcept C134560507 @default.
• W2019507187 hasConcept C162324750 @default.
• W2019507187 hasConcept C163258240 @default.
• W2019507187 hasConcept C171146098 @default.
• W2019507187 hasConcept C187691185 @default.
• W2019507187 hasConcept C188573790 @default.
• W2019507187 hasConcept C18903297 @default.
• W2019507187 hasConcept C2524010 @default.
• W2019507187 hasConcept C33923547 @default.
• W2019507187 hasConcept C39432304 @default.
• W2019507187 hasConcept C47737302 @default.
• W2019507187 hasConcept C544738498 @default.
• W2019507187 hasConcept C62520636 @default.
• W2019507187 hasConcept C73916439 @default.
• W2019507187 hasConcept C86803240 @default.
• W2019507187 hasConceptScore W2019507187C119599485 @default.
• W2019507187 hasConceptScore W2019507187C121332964 @default.
• W2019507187 hasConceptScore W2019507187C127413603 @default.
• W2019507187 hasConceptScore W2019507187C134560507 @default.
• W2019507187 hasConceptScore W2019507187C162324750 @default.
• W2019507187 hasConceptScore W2019507187C163258240 @default.
• W2019507187 hasConceptScore W2019507187C171146098 @default.
• W2019507187 hasConceptScore W2019507187C187691185 @default.
• W2019507187 hasConceptScore W2019507187C188573790 @default.
• W2019507187 hasConceptScore W2019507187C18903297 @default.
• W2019507187 hasConceptScore W2019507187C2524010 @default.
• W2019507187 hasConceptScore W2019507187C33923547 @default.
• W2019507187 hasConceptScore W2019507187C39432304 @default.
• W2019507187 hasConceptScore W2019507187C47737302 @default.
• W2019507187 hasConceptScore W2019507187C544738498 @default.
• W2019507187 hasConceptScore W2019507187C62520636 @default.
• W2019507187 hasConceptScore W2019507187C73916439 @default.
• W2019507187 hasConceptScore W2019507187C86803240 @default.
• W2019507187 hasLocation W20195071871 @default.
• W2019507187 hasLocation W20195071872 @default.
• W2019507187 hasLocation W20195071873 @default.
• W2019507187 hasOpenAccess W2019507187 @default.
• W2019507187 hasPrimaryLocation W20195071871 @default.
• W2019507187 hasRelatedWork W1531841317 @default.
• W2019507187 hasRelatedWork W2068996005 @default.
• W2019507187 hasRelatedWork W2138794844 @default.

• next