Research Seed Grants

The Cocoziello Institute of Real Estate Innovation Seed Grant Program is intended to facilitate research that helps advance its overarching mission: to identify and solve real estate’s most pressing challenges, helping to improve the built environment, enhance the well-being of its occupants, and support sustainable development.

Cocoziello Institute Seed Grants

Penn State’s Cocoziello Institute of Real Estate Innovation awarded its inaugural seed grants in 2024. These grants are designed to support interdisciplinary research projects that foster collaboration led by Penn State researchers, aiming to make a significant impact on the future of the built environment and real estate practice. Proposals for the 2027-2028 Seed Grant Competition will be accepted in February 2027.

2026 - 2027 Seed Grant Recipients

Smart and Connected Homes: Co-sponsored with Penn State Harrisburg

Structural and Environmental Monitoring of 3D Concrete Printed House

  • Fully funded: $50,000 total; $25,000 from the Cocoziello Institute and $25,000 from Penn State Harrisburg
  • Multiple Principal Investigators: Jose Duarte Pinto, professor and Stuckeman Chair in design innovation, Penn State University Park; Truong Tran, assistant professor of computer science, Penn State Harrisburg; Co-investigators: Mariantonieta Gutierrez Soto, associate professor of engineering design, University Park; Rahman Azari, associate professor of architecture, University Park; Yuqing Hu, assistant professor of architectural engineering, Penn State University Park
  • Summary: This project will monitor a real, occupied 3D-printed concrete house for a year to evaluate its structural performance, durability, energy efficiency, and indoor environmental quality, helping determine whether 3D-printed housing is a viable long-term construction solution. 

Additive construction, and specifically 3D concrete printing (3DCP), is rapidly emerging as a transformative approach to housing production, promising reductions in cost, construction time, and material waste. While interest and deployment have grown, there remains limited empirical data on the long-term structural and environmental performance of 3D-printed concrete buildings under real operating conditions. The 3D-printed house recently completed in Boalsburg, Pennsylvania—developed from technologies created at the Penn State Additive Construction Laboratory (AddConLab) and commercialized through its spin-off company, X-Hab 3D—provides a unique, first-of its-kind opportunity to collect such data from a full-scale, occupied dwelling.

This project aims to provide advanced insights into real-time indoor environmental conditions, energy consumption, and structural performance of 3D-printed concrete houses through the installation and continuous monitoring of a network of structural, hygrothermal, and environmental sensors embedded within and surrounding the Boalsburg 3D-printed home. Over the course of one year, the system will collect high-resolution data on wall deformation, strain development, temperature and moisture fluctuations, indoor environmental quality, and the interaction between printed concrete elements and applied finishes. These measurements will allow researchers to evaluate the building’s durability, energy performance, and occupant-related environmental conditions under varying seasonal loads. The outcomes of this study will establish an unprecedented dataset for understanding real-world performance of 3D-printed concrete housing. Findings will inform improvements to material formulations, printing parameters, structural design assumptions, and building code pathways, contributing to safer, more resilient, and more sustainable additive construction. The project will serve as a national model for evidence-based assessment of emerging construction technologies and directly support the responsible scaling of 3D-printed housing solutions.

A Metric-Driven One Health Approach to Indoor-Outdoor Built Environment Performance for Aging in Place

  • Partially funded: $25,000 total; $12,500 from the Cocoziello Institute and $12,500 from Penn State Harrisburg
  • Multiple Principal Investigators: James Mutunga, assistant professor of ecology, Penn State Harrisburg; Julian Wang, professor of architectural engineering, Penn State University Park
  • Summary: This project will study how indoor building conditions and outdoor natural environments work together to influence the health and well-being of older adults, with the goal of creating healthier and more climate-resilient aging-in-place communities.

The indoor and outdoor environments for aging in-place facilities are increasingly becoming important human health parameters due to emergent engineering controls and impacts by a changing climate. Therefore, facilities for senior populations need to be designed with a holistic understanding of how indoor and outdoor conditions jointly shape health, comfort, and well-being. Studies that integrate indoor hazards such as inadequate lighting, thermal instability, noise, and poor air quality with outdoor ecological factors like biodiversity, vegetation, and natural soundscapes to inform human health for aging in-place are underexplored. Existing fragmented research overlooks the reality that older adults experience their homes and surrounding environments as a continuous, interconnected system, one that is increasingly stressed by climate extremities leading to urban heat islands, flooding and declining ecological health. The proposed project addresses this critical gap by developing a metric‑driven One Health framework that integrates indoor environmental quality, outdoor ecological conditions, and the dynamic interactions between them to better support aging‑in‑place populations. Our approach combines sensor‑based indoor monitoring, ecological field assessments, and building‑performance analysis with pilot‑scale health and behavioral observations in older adults.

Our study will be in 2-3 selected senior living facilities in State College, Harrisburg and Philadelphia; representing diverse built-environments and also socially vulnerable regions of Pennsylvania associated with disproportionate effects on the built-environment driven by extreme weather events. In and around these facilities, we will quantify indoor parameters such as circadian lighting, temperature stability, noise exposure, and air quality, while simultaneously characterizing outdoor biodiversity, vegetation structure, and natural soundscapes using ecological sampling and environmental sensing tools. This study utilizes innovative approaches such as the integrated assessment of indoor–outdoor coupling, how building façades, windows, thermal exchange, and sensory exposures. We interrogate how these factors interconnect to mediate the effects of ecological conditions on human health and comfort. These integrated datasets will be used to conduct preliminary association analyses linking environmental metrics to sleep quality, thermal comfort, mood, and other health‑relevant indicators in aging populations.

The expected outcome of this pilot-scale assessment is to generate preliminary data to inform an evidence‑based framework that establishes how indoor and outdoor environmental factors jointly influence health of older adults and identifies the most meaningful metrics for future large‑scale studies. This work will generate new composite indices—such as indoor resilience scores, biodiversity‑health indicators, and nature‑connectedness metrics—that can inform current WHO aging and health recommendations and guide the design of healthier and more climate‑resilient housing, and support policy development for senior‑living environments. Ultimately, this project aims to transform how we understand and design aging‑in‑place environments by embedding One Health perspectives into the built-environment, ensuring that future design considerations afford ecologically-responsive healthier facilities for aging in-place populations.

Critical Issues Initiatives

Risk-Informed Smart Commissioning for Resilient Building Performance

  • Fully funded: $10,000 from the Cocoziello Institutute
  • Multiple Principal Investigators: Nan Zhu, associate professor of risk management, Penn State University Park; Jin Wen, professor of architectural engineering, Penn State University Park
  • Summary: This project will create a tool that converts building-performance and fault-detection data into financial and risk metrics, helping owners and investors make smarter decisions about building maintenance, efficiency, and resilience.

Commissioning has been widely recognized as an effective approach for improving building performance, reducing energy consumption, and enhancing occupant comfort. Advances in building automation systems (BAS) and fault detection and diagnostics (FDD) have further enabled “smart commissioning,” where operational data are used to continuously identify and prioritize system inefficiencies. Prior studies have documented typical energy savings of 15-30%, along with improvements in occupant wellbeing and productivity. Despite these benefits, smart commissioning has not been widely adopted. A key gap, identified in a recently finished EU project, is that engineering-based outputs are rarely translated into quantifiable financial and risk metrics that are central to real estate investment and insurance decision-making. This gap limits the broader adoption of smart commissioning practices.

This project proposes to develop a risk-informed framework that links smart commissioning outputs—such as fault detection metrics and system performance indicators—to measurable financial outcomes, including reduced energy cost and maintenance cost, as well as proxy measures of risk exposure. Building on an early-stage proof-of-concept prototype developed through a multidisciplinary capstone project,1 and supported by preliminary collaboration with Penn State’s Office of Physical Plant (OPP) and initial building datasets, the proposed work will refine analytical methods, validate key assumptions, and generate preliminary evidence using real-world data. The project will focus on translating fault detection outputs into financial metrics, incorporating a riskinformed perspective that enables a likelihood-by-consequence interpretation of building performance.

The resulting framework will be implemented and tested through an iterative, data-driven approach, producing outputs that can be directly used by building operators, asset managers, and other stakeholders. The expected outcomes include a validated analytical workflow, preliminary empirical results, and a prototype tool that demonstrates the feasibility of integrating building performance analytics with financial risk assessment. These outputs will provide a foundation for subsequent external funding and future collaboration, advancing the role of smart commissioning in improving the resilience and financial performance of buildings.

Socio-Engineering Feasibility of Producing Next-Generation Cement Substitutes from Abundant Crop Residue Feedstocks in Pennsylvania for a Sustainable Real Estate Market

  • Fully funded: $50,000 from the Cocoziello Institute 
  • Multiple Principal Investigators: Juan Pablo Gevaudan, assistant professor of architectural engineering, Penn State University Park; Kaitlyn Spangler, assistant professor of rural sociology, Penn State University Park
  • Summary: This project explores whether Pennsylvania crop residues can be transformed into low-carbon cement substitutes, creating a sustainable supply chain that benefits farmers, reduces construction emissions, and supports greener real estate development.

Rapid urbanization, aging infrastructure, and decarbonization pressures require transformative solutions to achieve a truly sustainable built environment. This project addresses these challenges through a novel interdisciplinary approach that links agricultural production in Pennsylvania (PA) and concrete manufacturing into a new regional supply model for low-CO2 building materials. More specifically, this project aims to convert abundant crop residues, such as corn stover, and emerging biomass feedstocks, such as switchgrass, into ash-based cement substitutes. The project achieves this aim through an interdisciplinary approach. The social science component will more deeply understand whether farmers are willing and able to supply these residues under real operating constraints; meanwhile, the engineering component will test whether the residues can be processed into reliable cement substitutes with measurable performance benefits. More specifically, we investigate a new CO2-based pretreatment that improves combustion efficiency and enhances the quality of the resulting ash for use in durable concrete. This integrated approach directly advances the program’s call by combining rural sociology, agricultural systems, materials chemistry, and construction innovation and positions Penn State as a leader in solving national real estate challenges in sustainability. The dissemination plan of this project engages external stakeholders to connect researchers with growers, biomass users, and real estate professionals around a shared built-environment concern and, therein, a potential solution. The near-term outputs are aligned with the seed program’s goals, namely: (1) preliminary data on biomass feedstock availability to inform a granular national supply model, and (2) proof-of-concept processing routes for improved performance of ash-based cement substitutes that can support future external proposals and industry partnerships. In short, the project transforms biomass feedstocks into regional assets that could strengthen supply chains, reduce embodied carbon, and create new value for PA real estate development through a more sustainable construction sector.

The project’s broader significance lies in its potential to create a practical, scalable pathway from crop residue to a market-relevant construction product. Interviews with PA farmers will generate a bottom-up understanding of residue management, competing uses, labor and soil health constraints, and openness to participating in a new concrete manufacturing chain. The team will also test a novel CO2-based pretreatment in an attritor mill, using controlled processing conditions to convert problematic alkali and alkaline earth metals into carbonates. This will reduce deleterious slagging affecting biomass energy systems during combustion and generate ash that can be used as a cement substitute in sustainable real estate development. Together, these efforts will support external funding opportunities, namely: (1) an accurate supply map of emerging and existing biomass feedstocks that leverages farmer attitudes; and, (2) a feasible CO2-capturing and effective process to manufacture cement substitutes from these important feedstocks. Through this innovation, real estate developers and owners, who increasingly need low-CO2 and regionally sourced concrete materials for more highly desirable real estate markets and certifications, such as LEED. This project provides evidence that concrete materials can be supplied consistently and perform reliably through bio-based markets and manufacturing processes. By engaging real estate partners in dissemination and framing the work around regional market adoption, the project moves beyond the laboratory scale and toward field implementation. Furthermore, it creates a strong foundation for future funding and partnerships by demonstrating a true integration between agriculture, engineering, and industry to solve complex sustainability challenges in the built environment. 

Physical AI-enabled Policy & Incentive Design for Adoption of Distributed Energy Resources

  • Fully funded: $50,000 from the Cocoziello Institute
  • Multiple Principal Investigators: Zhen Lie, professor of energy and environmental economics, Penn State University Park; Wangda Zuo, professor of architectural engineering, Penn State University Park

  • Summary: This project will use AI and detailed building-energy models to identify where distributed energy technologies like solar panels and batteries provide the greatest benefits, helping utilities and governments design smarter incentives, improve grid reliability, and strengthen community resilience.

Electricity demand in the U.S., where the building sector is responsible for about 30% of energy use, is increasing faster than the grid infrastructure expansion, eroding reliability, increasing the risks of rolling blackouts, and raising consumer costs. These challenges are further intensified by the increasing frequency and severity of climate extremes. Utility companies and governments have increasingly promoted the adoption of distributed energy resources (DERs), including energy efficiency, demand response, and PV–battery systems. These technologies can reduce electricity demand and grid stress during peak load, improve reliability and resilience, and lower energy bills for consumers. Yet the value of DERs is highly location-specific, depending on local grid conditions, building stock characteristics, and thermal comfort needs. Moreover, it varies at fine-grained time scales and evolves in the long term. Current state-of-the-art assessment of DERs, however, has limitations due to insufficient building stock resolution, bias towards historical conditions, and often utility-centric, omitting consumer and social benefits.

This proposal includes three novel research thrusts, utilizing the electricity data from Baltimore Gas and Electric (BG&E) and PJM, as well as the CoreLogic building data. First, we will develop a novel AI-enabled automated pipeline to generate urban building energy models (UBEMs) at multiple locations across the distribution grid. Second, using the calibrated UBEMs, we will then develop a comprehensive framework for assessing utility–consumer co-centric locational values of building distributed energy resources (DERs) that are also temporally varying, under various climate and peak weather scenarios. Third, using assessed DER locational values, we will build a decision support tool that can be used by utilities and governments to design policies and incentives for targeted adoption of DERs and more equitable resilience planning, enhancing grid reliability and thermal resilience. The tool can also be used by participants in the real estate market, improving market information and efficiency and benefiting stakeholders, including owners/tenants and vendors of DER technologies.

The research will leverage the complementary expertise and resources of a multidisciplinary team between energy architectural engineering and economics and policy. Existing collaborations with stakeholders (including utilities and governments, real estate market participants, and the DER technology industry) will provide real-world data, opportunities for validation and feedback, and contacts and potential funding for future extension of this research. Findings will be disseminated through targeted engagement with stakeholders, which will accelerate translation of our research into practical policy and decision-making and the real estate market.

The project cultivates new interdisciplinary collaborations on the nexus of energy systems and economics and policy, preparing the team to explore new opportunities for both applied and translational research, seeking external funding from NSF, DOE, utility and real estate companies, and city/state governments.