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Practical Solar Power Systems: Geometry, Economics, and Failure Modes for Real-World Designs
Design solar and storage systems that don’t catch fire, go broke, or leave you in the dark.
Practical Solar Power Systems is a concise handbook for technically minded readers who want PV and battery systems that work in the real world—weak grids, hot roofs, messy user behavior and all. Instead of drowning you in code clauses or sales talk, it focuses on a few clear mental models for geometry, wiring, batteries, and economics, and then shows you how to use an AI assistant as a tireless junior engineer and tutor.
This book is written for engineers, serious DIYers, and practitioners who like numbers more than slogans. If you can follow a spreadsheet and basic electrical safety, it will walk you from “I want solar” to a defensible modules, inverters, batteries, wire sizes, protection, and economic justification.
In this book you’ll learn how
Think of solar as geometry plus efficiency—why cross-sectional area, tilt, and seasonal loads matter more than panel marketing numbers.
Understand IV curves, MPPT, and overpaneling so you design for the year, not one perfect hour of sun.
Spot and prevent arcing and rooftop fire risks with sane wiring, connectors, and layout choices.
Treat batteries like tires, not magic boxes—chemistry trade-offs, SOC windows, temperature limits, and why lead-acid often dies young in hot climates.
Size storage using a marginal payback vs. endurance the economic lower bound from the payback of the next 5 kWh chunk, and the upper bound from how many cloudy days you want to ride through.
Work through full examples of grid-tied, hybrid, and off-grid systems with realistic constraints, including weak grids and generators.
Built for AI-augmented learning
Every chapter is structured to be used with an AI assistant from day one. You get checklists, design procedures, and end-of-chapter problems that double as conversation starters with an AI tutor. You’ll learn
Explain your own reasoning step-by-step and ask an AI to critique it, like a senior engineer would.
Remix the examples using your own climate, tariffs, hardware, and risk tolerance.
Use “rabbit hole” questions to explore deeper topics—panel efficiency limits, the newsvendor problem, optimization, AC machines, and more—at your own pace.
The goal is not to let AI design systems unsupervised, but to train you to use it as a fast, honest something you can argue with, correct, and lean on for structure while you keep final responsibility for safety and performance.
About the author
Dave Keil is a professional engineer who has designed and built solar and storage systems for harsh, isolated environments, including the performance-focused world of international solar car racing. With a background in chemical and mechanical engineering, finance, and project management, he cares less about perfect lab curves and more about whether systems stay safe, boring, and economical ten years after commissioning.
Practical Solar Power Systems is a concise handbook for technically minded readers who want PV and battery systems that work in the real world—weak grids, hot roofs, messy user behavior and all. Instead of drowning you in code clauses or sales talk, it focuses on a few clear mental models for geometry, wiring, batteries, and economics, and then shows you how to use an AI assistant as a tireless junior engineer and tutor.
This book is written for engineers, serious DIYers, and practitioners who like numbers more than slogans. If you can follow a spreadsheet and basic electrical safety, it will walk you from “I want solar” to a defensible modules, inverters, batteries, wire sizes, protection, and economic justification.
In this book you’ll learn how
Think of solar as geometry plus efficiency—why cross-sectional area, tilt, and seasonal loads matter more than panel marketing numbers.
Understand IV curves, MPPT, and overpaneling so you design for the year, not one perfect hour of sun.
Spot and prevent arcing and rooftop fire risks with sane wiring, connectors, and layout choices.
Treat batteries like tires, not magic boxes—chemistry trade-offs, SOC windows, temperature limits, and why lead-acid often dies young in hot climates.
Size storage using a marginal payback vs. endurance the economic lower bound from the payback of the next 5 kWh chunk, and the upper bound from how many cloudy days you want to ride through.
Work through full examples of grid-tied, hybrid, and off-grid systems with realistic constraints, including weak grids and generators.
Built for AI-augmented learning
Every chapter is structured to be used with an AI assistant from day one. You get checklists, design procedures, and end-of-chapter problems that double as conversation starters with an AI tutor. You’ll learn
Explain your own reasoning step-by-step and ask an AI to critique it, like a senior engineer would.
Remix the examples using your own climate, tariffs, hardware, and risk tolerance.
Use “rabbit hole” questions to explore deeper topics—panel efficiency limits, the newsvendor problem, optimization, AC machines, and more—at your own pace.
The goal is not to let AI design systems unsupervised, but to train you to use it as a fast, honest something you can argue with, correct, and lean on for structure while you keep final responsibility for safety and performance.
About the author
Dave Keil is a professional engineer who has designed and built solar and storage systems for harsh, isolated environments, including the performance-focused world of international solar car racing. With a background in chemical and mechanical engineering, finance, and project management, he cares less about perfect lab curves and more about whether systems stay safe, boring, and economical ten years after commissioning.
104 pages, Kindle Edition
Published December 15, 2025
1 person is currently reading
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Displaying 1 of 1 review
December 18, 2025
I picked this up because I wanted to understand solar + batteries beyond “panel kits on YouTube,” and what surprised me most wasn’t just the clarity of the explanations, but how deliberately the book is built to be used with an AI tutor.
The author doesn’t pretend AI doesn’t exist. Each chapter gives you a small number of core ideas (geometry, IV curves, arcing, battery aging, economics) and then points you at questions that are basically conversation starters with an AI assistant. I ended up doing exactly that: reading a section, trying the exercises, then handing my working to ChatGPT and asking it to critique me. It felt less like reading a static book and more like having a structured curriculum with a junior engineer on call.
If you’re serious about learning solar design and you’re already using AI tools, this book is a great “spine” for that process. It teaches the physics and failure modes, but it also quietly teaches you how to steer AI so you come away with real judgment instead of copy-pasted answers.
The author doesn’t pretend AI doesn’t exist. Each chapter gives you a small number of core ideas (geometry, IV curves, arcing, battery aging, economics) and then points you at questions that are basically conversation starters with an AI assistant. I ended up doing exactly that: reading a section, trying the exercises, then handing my working to ChatGPT and asking it to critique me. It felt less like reading a static book and more like having a structured curriculum with a junior engineer on call.
If you’re serious about learning solar design and you’re already using AI tools, this book is a great “spine” for that process. It teaches the physics and failure modes, but it also quietly teaches you how to steer AI so you come away with real judgment instead of copy-pasted answers.
Displaying 1 of 1 review