Energy / synthetic browser explorer

Threadmark

Inspect synthetic energy-cost assumptions, discounted annual ledgers and technology comparisons.

Open the explorer ↗Read the limits

No sign-in · Synthetic sample results · Source repository private

Actual Threadmark browser explorer showing synthetic examples — Actual browser edition with synthetic example data.

What you can try

Choose a synthetic technology and inspect its assumptions.
Compare calculation results and their annual cashflow ledger.
Export the displayed sample with its units and scope.

Start in three steps

Read the example assumptions and units.
Select a sample and inspect its chart and table.
Export the result with its scope attached.

Keep the boundary clear

This public explorer uses synthetic results from the private Python calculation engine. Backend workspaces, imports, persistence, review jobs and paid Astra services are unhosted. These examples do not establish real-project investment returns or engineering suitability.

Synthetic demonstrations are distinct from engineering certification, operational acceptance or validated real-project results.

Public edition and private source

The website shares a bounded analytical workflow. Python services remain in a private GitHub repository. Share this public demo URL with its assumptions attached.

App facts · Plain-text overview · Notices

MATHEMATICAL SPECIFICATION & UNITS

Governing Equations, Inputs, Outputs & Dimensional Conventions

Threadmark executes deterministic client-side calculations in the browser. Every scenario is governed by explicit mathematical formulations and unit checks:

LCOE ($/MWh) = [ Σ_{t=0..N} (CAPEX_t + OPEX_t + Fuel_t) / (1 + r)^t ] / [ Σ_{t=1..N} E_t / (1 + r)^t ], where E_t = Capacity (MW) × 8,760 h × CF × (1 − d)^{t−1}

Declared Units & Arithmetic Conventions: Capacity in MW; CAPEX in $/kW; OPEX in $/kW-yr; discount rate r in %; degradation d in %/yr; annual generation E_t in MWh; LCOE in $/MWh (real price-year currency).

Scope & Operational Boundary: Levelized energy cost from discounted cost and generation ledgers. Not RFQ management, business accounting or investment advice.

Launch Interactive Threadmark Runtime → · Read Full Methodology & Validation Notes → · Download JSON Dataset (run/data/catalog.json)

REPRODUCIBLE WORKED EXAMPLE & BENCHMARK TABLE

Verified Case Study & Held-Out Reference Table

Worked Verification Case: Scenario 1 (Utility Solar PV Cohort, 2027 commissioning, CAPEX = $950/kW, -2%/yr cohort capex trajectory): Discounted lifecycle cost divided by discounted energy ledger yields LCOE = $50.02/MWh for the 2027 cohort, declining to $49.18/MWh (2028), $48.36/MWh (2029), and $47.56/MWh (2030) under identical discount and capacity-factor assumptions.

Reproducible benchmark scenarios shipped in the Threadmark browser edition (Synthetic / Precomputed Evidence)
Commissioning Cohort	Plant CAPEX ($/kW)	Annual Capex Change	Discounted LCOE ($/MWh)	Scope Status
2027 Cohort	950.00	Baseline	50.02	Synthetic Ledger
2028 Cohort	931.00	-2.0%	49.18	Synthetic Ledger
2029 Cohort	912.38	-2.0%	48.36	Synthetic Ledger
2030 Cohort	894.13	-2.0%	47.56	Synthetic Ledger

DOMAIN MODULE SUITE

Specialized Companion Applications on mkbiz.co.business

To preserve topical focus and distinct search intent, mkbiz.co.business hosts the following dedicated companion modules under canonical subpaths:

Solstice Cost Studio

Canonical Path: /solar-cost/

Solar mounting/capacity cost comparisons, synthetic rate cards and discounted generation.

Boundary: Financing, taxation and revenue are explicitly outside scope.

Module Overview & Math → · Launch Interactive App ↗

TariffHarbor Studio

Canonical Path: /charging-tariffs/

Charging-energy valuation with acquisition cost, markup, illustrative tax and margin calculations.

Boundary: Synthetic configuration; no booking, billing, legal tax validation or real tariff feed.

Module Overview & Math → · Launch Interactive App ↗

PROCEDURAL USAGE GUIDE

How to Use Threadmark in 3 Reproducible Steps

Select a Baseline Scenario or Practice Module: Open the interactive browser runtime and choose one of the shipped synthetic presets or diagnostic modules to load its verified input parameters and unit declarations.
Inspect Intermediate Traces & Constraints: Review the computed ledger, error diagnostics (MAE/RMSE/margin/balance checks), or bilingual explanations alongside the governing equations documented on mkbiz.co.business/methodology/.
Export Portable Evidence (JSON / CSV): Export your scenario results, assumptions, or local study plan as a self-contained JSON or CSV file for offline verification and local re-import.

FREQUENTLY ASKED QUESTIONS

Methodological & Boundary FAQs

What mathematical model and units does Threadmark use?

Threadmark applies LCOE ($/MWh) = [ Σ_{t=0..N} (CAPEX_t + OPEX_t + Fuel_t) / (1 + r)^t ] / [ Σ_{t=1..N} E_t / (1 + r)^t ], where E_t = Capacity (MW) × 8,760 h × CF × (1 − d)^{t−1}. Units: Capacity in MW; CAPEX in $/kW; OPEX in $/kW-yr; discount rate r in %; degradation d in %/yr; annual generation E_t in MWh; LCOE in $/MWh (real price-year currency).

What are the operational boundaries and limitations of Threadmark?

Levelized energy cost from discounted cost and generation ledgers. Not RFQ management, business accounting or investment advice. All computations run deterministically in the browser on synthetic or precomputed demonstration fixtures.

How can I reproduce the benchmark results in Threadmark?

Open the interactive browser workspace at ./run/, select Case 1 to inspect the worked result (Scenario 1 (Utility Solar PV Cohort, 2027 commissioning, CAPEX = $950/kW, -2%/yr cohort capex trajectory): Discounted lifecycle cost divided by discounted energy ledger yields LCOE = $50.02/MWh for the 2027 cohort, declining to $49.18/MWh (2028), $48.36/MWh (2029), and $47.56/MWh (2030) under identical discount and capacity-factor assumptions.), and export the JSON or CSV evidence ledger.

PROVENANCE, ATTRIBUTION & RESEARCH ECOSYSTEM

Engineering Attribution & Interconnected Research Hub

Authored and maintained by Mohammad Rezwan Khan, PhD (Aalborg University · BESS QA/QC & Power Systems Specialist). Canonical URL: https://mkbiz.co.business/ · Source revision: verified-rel · Runtime SHA-256 prefix: verified-sha256 · Repository provenance: https://github.com/mohammadrezwankhan/mklab-apps (private source engine; public deterministic browser projection).

Application Metadata (app.json) · AI / LLM Discovery Guide (llms.txt) · Full Technical Corpus (llms-full.txt) · Semantic Knowledge Graph (knowledge-graph.jsonld)