Solar Energy Yield Engineer

About us:

MN8 Energy is one of the largest independent solar energy and energy storage owner-operators in the U.S., serving enterprise customers with clean energy and complementary solutions, such as battery storage and EV Charging, to enable an electrified, decarbonized world. Originally founded inside of Goldman Sachs in 2017, our fleet has grown to nearly 3-gigawatts of solar, including 850 projects across 27 states, and over 270 megawatts of battery storage projects, with each project tailored to achieve the bold decarbonization targets and goals of our more than 200 blue-chip customers. MN8 is headquartered in New York with offices in Boca Raton, Florida and Madrid.

Day to Day Tasks & Responsibilities:

• Conduct energy estimates for solar and energy storage projects using industry leading software and company proprietary software o Shading analysis including site topography o Snow and soiling loss calculations o Performance ratio (PR) calculations.
• Conduct uncertainly calculations and Pxx calculations.
• Research the latest tools, programs and papers for a continuous improvement of the company’s energy modelling capabilities.
• Review equipment test reports for application of results on energy estimates.
• Leverage operating data to formulate updated energy modeling assumptions.
• Coordinate and manage the 3rd party resources (Owner’s Engineers) in the preparation of energy estimates; perform QAQC of results and ensure deadlines are met.
• Conduct weekly performance analysis of operational projects using technical understanding of PV and BESS operations to identify underperformance and undetected downtime.
• Work with team members to build automated analysis based on performance analysis findings.
• Review and occasionally conduct performance testing (PR test or Capacity test) for newly built plants.
• Prepare documentation to present energy modeling results and assumption to third party financing parties (investors, independent engineers).
• Lead the negotiation with third party financing parties and technical advisors of energy modeling parameters and results.
• Discuss inputs and results with peers.
• Work with meteorological databases and ground measured meteo data, and the providers of such data.
• Create typical meteorological years (TMY) files.
• Other tasks as directed.
  
  

Key Skills and Experience:

• +2 yrs Experience in energy modeling for Solar PV /CSP projects.
• Experience with performance analysis of solar projects using commercial monitoring and analysis tools, is desirable.
• Familiarity with programming languages (Python, R, C / C++, VBA) highly desirable.
• Familiarity with statistical analysis and tools.
• Bachelor’s degree in Engineering, Physics, Mathematics, Data Science, or Computer Science.
• Exceptional analytical skills.
  
  

Additional Skills and Experience:

• Read, analyze and interpret designs and technical procedures.
• Experience using data to solve complex, ambiguous, high-impact, cross-functional problems.
• Strong analytical and technical as well as problem-solving skills.
• Demonstrated ability to perform under high pressure and dynamic work environment managing multiple project deliverables.
• Strong verbal and written communication skills as well as task prioritization.
• Be able to conduct business and perform technical writing in English.
• Familiarity with energy-related data types (e.g. smart meter data, weather data, energy consumption data) and relevant model types (e.g. regression, clustering, time-series forecasting, deep learning) is highly desirable.
• Strong problem-solving skills, with a focus on delivering tangible business value through machine learning solutions.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholder.
  
  

MN8 Energy is an Equal Opportunity Employer and fully subscribes to the principles of Equal Employment Opportunity to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.