Novel wind resource assessment and demand flexibility analysis for community resilience: A remote microgrid case study

Her, Chong; Sambor, Daniel J.; Whitney, Erin; Wies, Richard

doi:10.1016/j.renene.2021.07.099

Cited by 12 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their findings revealed that the distribution and intensity of risk greatly affect the anti-risk planning of the city's administrative area, thereby changing the resilience of the community. Moreover, other scholars, including Abdelhady et al [78], Wang et al [79], Her et al [80], Gholizadeh [81], Nofal [82], Baca et al [83], Chen and Ji [84], etc., conducted some regional studies using a small sample analysis method. Additionally, studies of resilience for different types of urban infrastructure in communities were implemented in a large body of literatures.…”

Section: Literature Reviewmentioning

confidence: 99%

Scenario-Based Comprehensive Assessment for Community Resilience Adapted to Fire Following an Earthquake, Implementing the Analytic Network Process and Preference Ranking Organization Method for Enriched Evaluation II Techniques

Chen

Yan

et al. 2021

Buildings

View full text Add to dashboard Cite

Natural hazards bring significant influences on and socioeconomic loss to cities and communities. Historic events show that fire following earthquake (FFE) is the most influential uncertain disturbance on the urban infrastructure system. Under the FFE scenario, the concept of resilience is widely implemented to make up the shortcomings derived from the traditional disaster management methodology. Resilient cities and communities are required to improve the systemic performance in responding to the FFE. To fulfill these goals, measuring community resilience is an essential work for municipal policy makers. Therefore, this study conducted a comprehensive assessment on community resilience adapted to the FFE scenario. The systematic literature review (SLR) was employed to identify the indicators, and the analytic network process (ANP) technique was implemented to determine their weights. 20 indicators were extracted, and 4 communities that encountered FFE in China were selected for the empirical analysis. Thereafter, the preference ranking organization method for enriched evaluation (PROMETHEE) II technique was selected through using the multicriteria decision analysis (MCDA) methods selection framework to fulfill the comprehensive assessment. The results were discussed and demonstrated with graphical analysis for interactive aid (GAIA) technique. The findings revealed that the G Community won the highest score and had the strongest performance. However, H Community had the lowest score and the weakest performance. The proposed comprehensive methods could benefit the decision-makers and the policy executors achieving the community resilience adapted to the FFE scenario by improving the effective indicators.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Scenario-Based Comprehensive Assessment for Community Resilience Adapted to Fire Following an Earthquake, Implementing the Analytic Network Process and Preference Ranking Organization Method for Enriched Evaluation II Techniques

Chen

Yan

et al. 2021

Buildings

View full text Add to dashboard Cite

show abstract

“…A variety of techniques that can be used to evaluate wind resources has been reported by various researchers worldwide. Her et al [3] did a Wind Resource Assessment (WRA) for communities in the Arctic and suggested a 100 kW wind turbine with a Levelized Cost Of Energy (LCOE) of $1.15/kWh and a capacity factor of 16.7% as an appropriate option. Dayal et al [4] completed an evaluation of the wind resources in Fiji's Rakiraki, Nabouwalu, and Udu.…”

Section: Introductionmentioning

confidence: 99%

Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sites

Kumar,

Yadav

2024

Sci. Tech. Energ. Transition

View full text Add to dashboard Cite

Wind energy is a clean and practical way to create electricity. It necessitates assessment of wind power potential (WPP) and its economic analysis at different height. In this context, this study examines WPP assessment for 62 different locations of 12 states in India from 10 m to 150 m height using six methods. The effectiveness of each method was performed through the computation of relative power density error (RPDE). The results suggested that the best method to estimate the WPP is NEPFM followed by EMM, EMJ and EML. It is found that Barkheri Bazar of Madhya Pradesh, Raipur, Chakal of Maharashtra, Vajrakarur of Andhra Pradesh, Kamagiri, M.S Puram, Servallar Hills of Tamil Nadu, Sangasar, Suvarda, of Gujarat are come under Wind Class 2, Mount Harriet, South Bay of Andaman and Nicobar, Nagda of Madhya Pradesh, Jagmin of Maharashtra, Kanyakumari of Tamil Nadu, Mahidad of Gujarat come under Wind Class 3, Kalunirkulam of Tamil Nadu under Wind Class 4, Brahmanwel of Maharashtra fall in Wind Class 5. A technical assessment is also made using six different wind turbine Models, through the computation of their respective capacity factors, annual power and energy outputs. Furthermore, the economic feasibility of these wind turbine gave cost of energy (COE) variation from 0.28 to 15.31 $/kWh at 10 m hub height of wind turbine and at 150 m hub height of wind turbine COE varies from 0.10 to 3.53 $/kWh. This study is useful for industry

show abstract

“…Cost-effective combinations of wind energy systems and dispatchable load for improving the energy security in a rural community in Alaska are simulated and analyzed in Ref. [20]. An optimization model for designing and sizing a hybrid renewable energy system for supplying a desalination plant for supplying water to a small community in Saudi Arabia was elaborated and solved in Ref.…”

Section: Introductionmentioning

confidence: 99%

Techno-economic assessment of university energy communities with on/off microgrid

Sima

Popescu

et al. 2022

Renewable Energy

View full text Add to dashboard Cite

Novel wind resource assessment and demand flexibility analysis for community resilience: A remote microgrid case study

Cited by 12 publications

References 13 publications

Scenario-Based Comprehensive Assessment for Community Resilience Adapted to Fire Following an Earthquake, Implementing the Analytic Network Process and Preference Ranking Organization Method for Enriched Evaluation II Techniques

Scenario-Based Comprehensive Assessment for Community Resilience Adapted to Fire Following an Earthquake, Implementing the Analytic Network Process and Preference Ranking Organization Method for Enriched Evaluation II Techniques

Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sites

Techno-economic assessment of university energy communities with on/off microgrid

Contact Info

Product

Resources

About