Bennett Anonde

Energy And Water Data Disclosure For New York February 2022- September 2022 This report gives insight on the following analysis: 1. Descriptive Analysis What is the average energy and water consumption per unit (e.g. per building, per gross floor area)? What are the trends in energy and water usage over time? Which borough or council district have the highest and lowest energy and water consumption? 2. Comparative Analysis How does energy consumption vary between different boroughs, council district and property types? How does water usage compare across different boroughs, council district and property types? Are there any significant differences in energy and water consumption between commercial and residential property types? (Yes, there is a difference. The total electricity use for Residential category is 11.2b (Kw/h) with an average of 646k (Kw/h) (while that for Commercial is 16.3b (Kw/h) with an average of 2billion (Kw/h) The total water usage use for Residential category is 85.3m (KGal) with an average of 4.9k(kGal) while that for Commercial is 30.9m (KGal) with an average use of 3.9k (kGal)) 3. Efficiency and Sustainability What is the relationship between building age and energy/water consumption? (Older buildings was seen to have consumed more electricity than newer buildings) What impact do energy and water-saving measures have on overall consumption? (For Energy, observing the graph energy-saving measures helped reduce the amount of (Kw/h) used.) 4. Environmental Impact What is the carbon footprint associated with energy and water consumption in different boroughs? What are the potential environmental benefits of reducing energy and water consumption? (lowered greenhouse gas (GHG) emissions thereby having lesser carbon footprint). 5. Policy and Regulation How effective are current policies and regulations in reducing energy and water consumption? What are the compliance rates with energy and water disclosure regulations? (I would say the compliance rate is all right judging with Energy star score of the boroughs exceeding their Target energy star score. It is also to be noted that approximately 53.05% (13,805 property ID) of Properties has Energy star score level above median). Energy Star score level: (attached the median at 50) Best (A) >= 75 Good (B) >=56 Median (C) >= 50 Bad (D) <50 How do different regulatory frameworks impact energy and water usage? Energy Efficiency Standards: Creating regulations that sets minimum efficiency standards for appliances, buildings, and vehicles. Emissions and Discharge Limits: Dictate on the number of pollutants that can be emitted or discharged into the environment. Water Usage Restrictions: Policies limiting water use in households, industries, and agriculture. Maybe in the form of outdoor water-use restriction which restricts outdoor use of water supplies (e.g.) irrigation of lawns, car washing, filling swimming pools etc. 6. Predictive Analysis Can we predict future energy and water consumption based on historical data? What factors are the most significant predictors of high energy and water usage? (Population numbers and distribution, economic growth, environmental conditions) 7. Behavioral Analysis What are the patterns of energy and water usage during different times of the day, week, or year? How do consumer behaviors influence energy and water consumption? (Willingness to invest in energy-efficient appliances and water-saving devices, Adoption of renewable energy an reduce reliance on grid electricity, younger generations might be more tech-savvy and open to adopting smart technologies, while older generations may stick to traditional practices.) What are the most effective ways to encourage energy and water conservation? (Real-time feedback on consumption with the use of smart Energy and water IT meters. Energy and water audits for large buildings and industries.) 8. Technological Impact How do different technologies (e.g., IT meter, energy meter) impact energy and water usage? (Manhattan has 10.7k buildings with 67.1k active energy meter with 98 active IT meter. Brooklyn has 7.4k buildings with 32.3k active energy meter with no active IT meter. Bronx has 5.8k buildings with 37.6k active energy meter with no active IT meter. Queens has 7.1k buildings with 34.1k active energy meter with 1 known active IT meter. Staten IS has 912 buildings with 2.8k active energy meter with no active IT meter) What is the adoption rate of energy and water-efficient technologies? (For Manhattan each building has approximately 6.27 active energy meters, indicating high penetration of energy metering technology across the buildings with IT meter Adoption Rate ≈ 0.92% This indicates that less than 1% of the buildings have advanced IT meters. For Brooklyn each building has approximately 4.36 active energy meters For Bronx each building has approximately 6.48 active energy meters For Queens each building has approximately 4.7 active energy meters with IT meter Adoption Rate ≈ 0.014% this indicates that less than 1% of the buildings have advanced IT meters For Staten IS each building has approximately 3.1 active energy meters) Keys: Direct emissions Green House Gas (GHG): are emissions related to combustion from sources that are owned or controlled by the business or person, for example, boilers, vehicles, furnaces, etc. Indirect GHG emissions: associated with energy: GHG emissions associated with the purchase of energy as electricity, steam, or compressed air, which are acquired and consumed by the business or person. Site EUI (Energy Use Intensity): is the amount of heat and electricity a building consumes as reflected in utility bills. Source EUI: traces heat and electricity use back to the original raw input creating a more holistic understanding of a building's energy use. Note: This dataset is a web connection from catalog.data.gov which was published by data.cityofnewyork.us for public access and use.