Interdisciplinary Programs Office Division of Environment and Sustainability 239 Interrogating Fintech-Enabled Solar Power as ‘Energy Democracy’ in Hong Kong Supervisor: DELINA Laurence Laurencio / ENVR Student: TANG Wing Shun / EVMT WONG Ka Ying / EVMT LAM Rainbow Yi Hung / EVMT Course: UROP1000, Summer UROP1100, Summer UROP3100, Summer This UROP seeks to examine the status and potentials of a fintech-enabled renewable energy market and its relationship with energy democracy in Hong Kong. During this term, we conducted our primary data collection, through online interviewing. We also transcribed our data and cleaned our transcripts. Our initial findings are: (1) Majority of our resource persons think that solar energy and financial technologies are key instruments that can assist Hong Kong to transition towards carbon neutrality; (2) Majority of them also think that there are limitations and challenges that need to be addressed if Hong Kong is to tap this opportunity, including lack of expertise and lack of interest from the business sector. Our report concludes with a summary of the challenges we encountered in data collection and an outline of our future work. Air Quality Data Analysis and Interpretation Supervisor: GU Dasa / ENVR Student: WANG Yiyi / CHEM Course: UROP2100, Fall Based on my research done in UROP1100, combining with the characters of air pollution in Hong Kong, I found ozone of most interest of discussion and that NOx was one of the most important precursors of ozone. Hence I further dug into the correlation relationship between concentrations of ozone and NOx using air quality data acquired from HKEPD website and made some observations on diurnal patterns, weekday-weekend characters, monthly fluctuations and seasonal patterns of NOx and ozone concentrations in three places with diverse land-use characters in Hong Kong. Air Quality Data Analysis and Interpretation Supervisor: GU Dasa / ENVR Student: WANG Yiyi / CHEM Course: UROP3100, Spring Based on my fundamental research on influence factors of ground-level ozone in UROP1100 and UROP2100, which extracted HKEPD data on pollutants concentrations and HKO data on natural parameters, I found out that concentrations of ozone is more strongly correlated with concentrations of its precursors, VOCs and NOx, and through further readings, I discovered that VOCs have a more significant effect on ozone than NOx. In this report, I will focus on BTEX family of VOCs, study their diurnal and seasonal fluctuation patterns by plotting time series, and discuss the Pearson’s correlation coefficients between concentrations of BTEXs and ozone, adopting pollutants concentrations data of Mong Kok station, from HKEPD public site and monitoring data of our labs in HKUST, from May1 2015 to May31 2019.
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