# data[].attributes.headline
Impact Of Electricity Storage Ownership Structures On Community Equity Outcomes

# data[].attributes.subject
Impact Of Electricity Storage Ownership Structures On Community Equity Outcomes

# data[].attributes.body
Evaluate different ownership structures on a set of predetermined outcomes. We examine the objective function of decision makers in different storage ownership patterns ranging from community storage to utility owned systems. Specifically, we want to measure how equity indicators such as reliability, autonomy and cost are impacted by different structures. In addition, we would model storage decision under time of use pricing for different consumer load profiles

# data[].attributes.body
The motivation for this work is that heating is one of the biggest contributors to carbon emission. This is because most buildings' furnaces and boilers depend on fossil fuels such as oil and gas, and replacing them with electric heat pumps can lead to significant carbon reduction. To do so, we would identify good candidates for transitioning from fossil fuels to electric heat pumps by analyzing their electric usage data. We would then combine such analysis with demographic information to ensure that the benefits that accrue from such transition are distributed equitably across the population.

# data[].attributes.headline
Demographic Disparities in Household Energy Efficiency or Energy Type in Holyoke, MA

# data[].attributes.subject
Demographic Disparities in Household Energy Efficiency or Energy Type in Holyoke, MA

# data[].attributes.body
We would team with John and Prashant and use their data on home energy use in Holyoke. Our contribution would be to add our demographic (race, income) data and analyze any demographic disparities in home energy efficiency/type.

# data[].attributes.headline
Demographic Disparities in Financial Returns to Solar

# data[].attributes.subject
Demographic Disparities in Financial Returns to Solar

# data[].attributes.body
This is our current project, but posting as a reminder: We have system data on all MA solar households 2014-18 (address, system capacity, lease/own, etc.). We use Dwayne Breger's financial model to calculate the net present value of installing solar based on ownership status, government incentives, and more. Then, we compare the financial returns to solar across race and income groups using census data.

# data[].attributes.headline
Modeling The Local Pollution Impacts Of Power Systems On Vulnerable Populations To Inform An Equitable Energy Transition

# data[].attributes.subject
Modeling The Local Pollution Impacts Of Power Systems On Vulnerable Populations To Inform An Equitable Energy Transition

# data[].attributes.body
Model hourly operation of a power system to evaluate how power plants’ air pollution impacts different socioeconomic groups. Aim is to quantify injustice towards vulnerable populations, capturing how local pollution, energy cost and emissions interact. Future work: suggest generation portfolios that support equity and climate goals

# data[].attributes.headline
Using air to water heat pumps as energy storage

# data[].attributes.subject
Using air to water heat pumps as energy storage

# data[].attributes.body
This project can bring together Vivian's work on storage with yours on heat pumps.  Use AI to determine who could provide the most benefit to the grid through DR focused on hot water storage.  Ultimately, work on community engaged co-design of DR programs using air-to-water heat pumps. - Erin

# data[].attributes.body
I wonder if we can use some of your methods to look at civic innovation, like the use of cooperatives to own and operate PV or energy storage; or demand response programs aimed at hot water tanks as energy storage. Erin

# data[].attributes.headline
Access to Energy Equity: Spatial Density of SBIR Energy Grants

# data[].attributes.subject
Access to Energy Equity: Spatial Density of SBIR Energy Grants

# data[].attributes.body
I will examine the spatial distribution of small business innovation grants awarded by the Department of Energy’s Small Business Innovation Research program.

I hypothesize that there is a significant spatial relationship to who receives the SBIR innovation grants and that women and economically disadvantaged businesses have different networks that exclude them from participating and receiving the SBIR grants.  My analytic framework is stratification economics to test the economic mobility and spatial density of innovation grants.

# data[].attributes.body
I wonder if you can somehow cluster the groups that do receive these grants. You mention "different networks"; you may be able to fathom what is important in the context of SBIR attainment using network analysis methodology.

# data[].attributes.body
This is so interesting. I'm especially interested in the last part - what solutions address both climate and justice goals? Are there options that are equal from the climate perspective, but much different from the justice perspective and what affect would that have on public approval? I wonder if that would correlate with centralized vs distributed renewable generation choices? I.e. if you could build more distributed solar in areas with high pollution, could that accelerate closing of high pollution generation?

# data[].attributes.body
Building from Erin and Golbon comments, I wonder how to include job creation and business opportunities while planning expansion of a power sys. This may indicate where the money should be invested (maybe via loans? or training grants?) and what techs make sense for different communities. - Paola

# data[].attributes.body
I wonder if employment in the energy sector could be a factor in who applies/who gets these grants.-Christine

# data[].attributes.headline
Risk sharing, household choice of structures 

# data[].attributes.subject
Risk sharing, household choice of structures 

# data[].attributes.body
A possible related topic: what are household preferences towards the different storage structures? Do they prefer to own their batteries or participate in community storage. Risk sharing and risk preferences can play a role here. - Christine

# data[].attributes.body
Same as David's comment can you also look at the air pollution impact of increased renewables?

Also, when you say air pollution impacts , will there be a valuation component (e.g. health) of these impacts?
-Christine

# data[].attributes.body
Can we complement this study with one that empirically looks at the impact of storage on market outcomes such as prices and reliability? Will only work if there is enough storage to make a difference in prices/reliability. Does anyone know if there is such as setting in the ISONE territory? I'm happy to help in data acquisition. - Christine

# data[].attributes.headline
How does electrifying heating impact local pollution impacts of the electric grid?

# data[].attributes.subject
How does electrifying heating impact local pollution impacts of the electric grid?

# data[].attributes.body
A collab between John and Paola. Erin

# data[].attributes.headline
Residential Solar as A Neighborhood Amenity

# data[].attributes.subject
Residential Solar as A Neighborhood Amenity

# data[].attributes.body
My interest is in quantifying indirect financial benefits to solar adoption. We already know that adding solar to your home increases its value beyond the cost of the panels themselves. The idea here is that perhaps one home adding solar increases the value of nearby homes, making solar not just a personal amenity, but a "neighborhood amenity." This research would require some serious data work (merging multiple datasets) and spatial analysis.

# data[].attributes.body
[Prashant]: I had suggested to John that we think about how to embed the notion of equity directly into software algorithms when finding candidates homes for heat pump retrofits.  This will of course mean we need to define what equitable selection would mean in this context.

# data[].attributes.headline
Does a collaborative project make sense?

# data[].attributes.subject
Does a collaborative project make sense?

# data[].attributes.body
If so, what does it look like, how does it fit within the professional development of the students (i.e. is it part of their dissertation; and extra paper). What is the first step for moving forward?

# data[].attributes.headline
If not, how can the two teams gain value from perspectives in other discipline or area.

# data[].attributes.subject
If not, how can the two teams gain value from perspectives in other discipline or area.

# data[].attributes.body
1.  what concepts from  each others disciplines might inform your work?

2.   what citations from each others disciplines might you include?

3.   what data could be shared or would you like access to?