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Phone: +41 44 123 4567
Email: info@hamegmbh.ch
Address: Suhrgasse 9; CH-5036 Oberentfelden; Switzerland
This document is a modern, technical single-page overview of the leading solar and new energy technologies used in electricity generation, distributed energy resources, and grid integration. It is written for engineers, energy analysts, project developers, and policy advisers who want a concise yet detailed reference covering physics, hardware, system design, controls, economics, and operations.
Contents: Photovoltaics · Concentrating Solar · Energy Storage · Inverters & Power Electronics · BIPV · Grid Integration · Modeling & Performance · Economics & Policy · Maintenance & O&M · Case Studies · Standards
Solar energy systems span a spectrum from small rooftop photovoltaic (PV) systems to multi-megawatt utility-scale farms, and to concentrating solar power (CSP) plants with thermal storage. "New energy" in this context includes: advanced PV technologies (heterojunction, TOPCon, tandem perovskites), energy storage systems (electrochemical, redox flow, thermal storage), power electronics (grid-forming inverters), and digital controls for distributed energy resource management.
Photovoltaic technology remains the backbone of modern solar deployment. Recent commercial trends include higher-efficiency wafer technologies (PERC, PERT, TOPCon, heterojunction (HJT)), and advanced module architectures (shingled modules, half-cut cells, multi-busbar designs) that reduce resistive losses and increase reliability.
Performance of silicon PV is constrained by fundamental recombination mechanisms, series resistance, optical losses, and operating temperature. Efficiency improvements arise from surface passivation (reduced Shockley–Read–Hall recombination), improved metal contact engineering, and light management (texturing, anti-reflective coatings). Tandem cells (e.g., silicon-perovskite) target surpassing single-junction Shockley–Queisser limits by stacking absorbers with complementary bandgaps.
Modern modules use segmentation (half-cut, multi-busbar) to reduce current per cell string and lower resistive losses. Encapsulants (EVA alternatives) and backsheet materials influence moisture ingress and UV stability. Long-term reliability testing includes thermal cycling, damp heat (85°C/85%), and mechanical load tests. BOS costs and mounting strategies (tracking vs fixed-tilt) strongly influence levelized cost of energy (LCOE).
| Parameter | Typical Range or Target |
|---|---|
| Module efficiency (commercial) | 18%–23% (utility & rooftop mono-Si); advanced cells 23%–26%+ |
| Temperature coefficient | -0.3%/°C to -0.45%/°C |
| Expected degradation | 0.3%–0.8%/yr (depending on materials & warranty) |
| Design DC/AC ratio | 1.1x–1.5x (project-specific; higher for weak-grid sites) |
| Typical inverter efficiencies | 96.5%–99% (depending on loading and topology) |
Note: select module technology according to climate, expected soiling, wind loading, and project financing constraints. Detailed power-loss models (temperature, soiling, mismatch, shading) should be included in pre-construction energy yield assessments.
CSP remains relevant where high direct normal irradiance (DNI) and dispatchable thermal energy are needed. Common CSP technologies: parabolic troughs, linear Fresnel, solar towers (central receiver) and dish Stirling systems. CSP integrates thermal energy storage (molten salts, phase-change materials) to provide firm capacity and ancillary services.
CSP provides higher capacity factors when paired with storage; however, capital intensity and site selection (DNI) limit deployment. Thermal-to-electric conversion efficiencies depend on operating temperature and the power block (steam Rankine vs Brayton cycles for higher temperatures).
Storage is the enabler that transforms intermittent solar into dispatchable electricity. When designing storage, the most important engineering variables are energy capacity (kWh), power rating (kW/MW), round-trip efficiency, degradation, thermal management, and safety characteristics.
Key trade-offs: power vs energy rating, capital vs lifetime cost, round-trip efficiency vs duration. For example, lithium-ion is ideal for high power, shorter-duration applications (frequency regulation, intra-day shifting), whereas flow batteries or hydrogen may be chosen for multi-hour to seasonal applications despite lower round-trip efficiency due to lower levelized cost of stored energy for long-duration cycles.
Inverters are the control layer between DC generation & the AC grid. Modern inverters are increasingly software-defined, enabling advanced features: grid-forming operation, ride-through, dynamic reactive power support, anti-islanding, and voltage/frequency regulation. Standards (IEEE 1547, UL1741) now require or recommend more active grid support capabilities.
Designers must consider harmonic distortion, grounding strategies, transformer sizing, protection coordination, and the coordination of inverter anti-islanding with local protection schemes.
Building-integrated photovoltaics (BIPV) and agrivoltaic systems integrate generation into land use to support multifunctional assets. BIPV demands architectural integration, fire-rated materials, and often bespoke electrical routing; agrivoltaics requires balance between crop yield and panel placement, sometimes using elevated racks or adjustable tilt angles.
High penetration of solar requires changes in system operations: more flexible dispatchable resources, new market products, and active distribution management. Key software components include Distribution Energy Resource Management Systems (DERMS), virtual power plants (VPPs), and advanced forecasting + scheduling.
Accurate energy yield models combine meteorological data (time-series irradiance), system geometry, shading analysis, thermal behavior, and electrical mismatch. Common tools include PVsyst, SAM, and in-house Monte Carlo models that incorporate stochastic soiling and degradation.
When producing bankable energy assessments, incorporate conservative assumptions for degradation and include sensitivity analyses across irradiance years and O&M scenarios.
Project economics hinge on CAPEX, OPEX, financing structure, incentives, and revenue streams (energy, capacity, ancillary services). Levelized cost of energy (LCOE) is a useful normalization metric but must be complemented with value-based assessments reflecting time-of-day pricing and system integration costs.
Policy incentives (tax credits, feed-in tariffs, RECs, auctions) and interconnection procedures directly affect bankability and timeline. Developers must model interconnection upgrade costs and queue risk.
O&M best practices improve uptime and extend asset life: predictive maintenance using analytics, regular IV-curve tracing, thermographic inspections, soiling cleaning schedules, vegetation management, and firmware management for inverters and EMS.
Representative system design patterns illustrate trade-offs and integration choices.
250 kW rooftop PV (monocrystalline half-cut modules) paired with a 500 kW/1.5 MWh LFP battery. Use case: demand charge reduction, PV self-consumption, and limited grid services. Control objective: minimize peak demand while respecting battery state-of-charge windows aligned to tariff timing.
100 MW DC fixed-tilt PV with 60 MW / 240 MWh battery. Objectives: firming, energy arbitrage, and frequency response. Design includes substation upgrades, step-up transformers, and coordinated plant-level dispatch using a DERMS.
Design teams must adhere to local electrical codes and international standards: IEC 61215/61730 (PV module test standards), IEC 62109 (safety of power converters), IEEE 1547 (interconnection), and applicable UL standards (for modules/inverters in North America). Fire safety, rapid shutdown, and arc-fault protection are key safety considerations.
Emerging research areas include perovskite tandems (stability & encapsulation), silicon heterojunction and TOPCon process optimization, solid-state batteries, long-duration flow chemistries, and AI-enhanced operations for fault detection and predictive maintenance.
Important for quick calculations during design & review.
Power_out (W) = Irradiance (W/m^2) * ModuleArea (m^2) * ModuleEfficiency
TemperatureEffect ≈ Power_out * (1 + beta * (T_oper - T_STC))
LCOE ≈ (Sum discounted CAPEX + Sum discounted OPEX) / Sum discounted energy produced
RoundTripEfficiency = (Energy_out_storage / Energy_into_storage) * 100%
Use time-series simulation to obtain accurate annual energy production (AEP) rather than simple point estimates.
Typical software and resources used by practitioners: PVsyst, NREL System Advisor Model (SAM), PVlib (python), Homer, Meteonorm, and commercial asset-management suites. For standardization and testing, consult IEC and IEEE standards mentioned previously.
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