The Intellectual Property direction to reduce the energy dependency on fossil fuels is briefly examined.
Renewable energy sources examined are Solar, Wind, Hydropower, Geothermal and Biofuel.
Due to the climate change, renewable energy with low carbon emission is a significant part of development (Mirzaii, 2017). There are several types of renewable energy that could be replenished naturally such as bioenergy, hydro, wind, solar and tidal. However, solar energy is considered as a powerful source that should be applied effectively. According to the study, 30 minutes of solar radiation could produce the energy which equal to world demand for one year (Singh, 2017b). Undoubtedly, solar energy systems might be the one of the sustainable solutions to substitute the fossil fuels.
Michael Garvin
President of Renewable Energy Network for Aggregated and Intregrative Systems (RENAIS)
Advisor to the University of Iowa Executive MBA program
RENAIS LLC assists in identifying emerging "disruptive technologies" in the transportation and energy sectors. The company links research/development with investment and the stable equipment with market demand by setting production on a domestic and international platform. The company is currently involved in alternative fuel cars/trucks, thermal fuel cells and high efficiency alternative fuel generator sets.
Due to the climate change, renewable energy with low carbon emission is a significant part of development (Mirzaii, 2017). There are several types of renewable energy that could be replenished naturally such as bioenergy, hydro, wind, solar and tidal. However, solar energy is considered as a powerful source that should be applied effectively. According to the study, 30 minutes of solar radiation could produce the energy which equal to world demand for one year (Singh, 2017b). Undoubtedly, solar energy systems might be the one of the sustainable solutions to substitute the fossil fuels.
Michael Garvin
President of Renewable Energy Network for Aggregated and Intregrative Systems (RENAIS)
Advisor to the University of Iowa Executive MBA program
RENAIS LLC assists in identifying emerging "disruptive technologies" in the transportation and energy sectors. The company links research/development with investment and the stable equipment with market demand by setting production on a domestic and international platform. The company is currently involved in alternative fuel cars/trucks, thermal fuel cells and high efficiency alternative fuel generator sets.
Power, Gas and Certificates Trading Industry in EuropePMILebanonChapter
Elie El Haddad is the speaker for the monthly lecture of the PMI Lebanon Chapter and the presentation title is "Projects for the Power, Gas and Certificates Industry".
Lecture Outline and Objectives:
Outline
Power generation industry
Power scheduling, routing and balancing
Power trading
Challenges of project management for the power industry
Objectives
How the energy is produced
How the energy is delivered to the end customer
How the pricing is made
How the risk management is calculated
Project implementation for the power industry
Green Hydrogen Market worth $7,314 million by 2027 growing at a CAGR of 61.0%. The mobility industry accounted for a share of 58% in terms of value in the Green Hydrogen Market in 2022 and is projected to reach USD 4,550 million by 2027 at a CAGR of 63.4%. The power sector is projected to witness the second-highest CAGR of 63.0%, growing from USD 88.5 million in 2022 to USD 1018 million by 2027.
Presentation on management strategy for solar photovoltaic cellshujathshu
History of Solar Cells,Classification of Solar cells,Effect Of Temperature On Efficiency of solar cell,North South Railway Project(KSA),Electrical Connections for Signaling in Railway system,Solar Powered Hybrid Cooling System for Telecommunication
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Power, Gas and Certificates Trading Industry in EuropePMILebanonChapter
Elie El Haddad is the speaker for the monthly lecture of the PMI Lebanon Chapter and the presentation title is "Projects for the Power, Gas and Certificates Industry".
Lecture Outline and Objectives:
Outline
Power generation industry
Power scheduling, routing and balancing
Power trading
Challenges of project management for the power industry
Objectives
How the energy is produced
How the energy is delivered to the end customer
How the pricing is made
How the risk management is calculated
Project implementation for the power industry
Green Hydrogen Market worth $7,314 million by 2027 growing at a CAGR of 61.0%. The mobility industry accounted for a share of 58% in terms of value in the Green Hydrogen Market in 2022 and is projected to reach USD 4,550 million by 2027 at a CAGR of 63.4%. The power sector is projected to witness the second-highest CAGR of 63.0%, growing from USD 88.5 million in 2022 to USD 1018 million by 2027.
Presentation on management strategy for solar photovoltaic cellshujathshu
History of Solar Cells,Classification of Solar cells,Effect Of Temperature On Efficiency of solar cell,North South Railway Project(KSA),Electrical Connections for Signaling in Railway system,Solar Powered Hybrid Cooling System for Telecommunication
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
3. Disclaimer
• The content contained in this presentation is based on data obtained
from the PatBase™ system1 and is based on the author’s interpretation
of the data. PatBase™ was used for data and graphs. The presentation
is not peer reviewed.
• Use of this information is up to the reader’s discretion and the author
shall not be held liable for the contents.
1/1/2024
4. Introduction
The IP direction to reduce the energy
dependency on fossil fuels is briefly examined.
Renewable energy sources examined are:
Solar
Wind
Hydropower
Geothermal
Biofuel
1/1/2024
5. Renewable Energy
• Solar is energy from the sun that is converted into thermal or electrical energy.
• Wind energy captures kinetic energy from the movement of air either via land
(onshore) or sea (offshore).
• Hydropower harness energy from the movement of water or tides.
• Geothermal uses the thermal energy from the Earth’s center.
• Biofuel is energy produced from biomass (i.e. wood, liquids).
1/1/2024
6. Financial
“Climate action is not a budget buster or economy-wrecker. Shifting to a green economy could
yield a direct economic gain of $26 trillion through 2030 compared with business-as-usual. This
could produce over 65 million new low-carbon jobs.” …https://www.un.org/en/climatechange/science/key-findings
(New Climate Economy, Resources Institute, August 2018 report)
"The Energy Institute Statistical Review is essential reading for policymakers around the world
trying to balance the energy trilemma," said Simon Virley, Head of Energy and Natural
Resources at KPMG in the UK. "All aspects of the trilemma were put under severe strain in
2022. Despite record growth in renewables, the share of world energy still coming from fossil
fuels remains stubbornly stuck at 82%, which should act as a clarion call for governments to
inject more urgency into the energy transition.“ ….https://www.spglobal.com/commodityinsights/en/market-
insights/latest-news/oil/062623-fossil-fuels-stubbornly-dominating-global-energy-despite-surge-in-renewables-energy-institute
(S&B Global Commodity Insights, “Fossil fuels 'stubbornly' dominating global energy despite surge in renewables: Energy
Institute” COAL | ELECTRIC POWER | ENERGY TRANSITION | NATURAL GAS | OIL 26 Jun 2023)
1/1/2024
9. World Consumption
1/1/2024
• 2023, Statistical Review of World
Energy, The Energy Institute Statistical
Review, https://www.energyinst.org/statistical-
review/resources-and-data-downloads)
10. The way to get
started is to quit talking
and begin doing.
Walt Disney
1/1/2024
11. Content
Patent Technology Timeframe
• Limit evaluation from publication date 2018 to
November/December 2023.
• PatBase® system is used in analysis.
PatBase® records are represented by a patent
family.
• Simple keyword strategies or keyword and
classification code combinations were used to
obtain the data for this project. The data was
not derived from a comprehensive search.
• The charts and graphs in the analysis are
meant as a general overall view of trends in the
various renewable energy resources.
1/1/2024
PatBase® Family
A PatBase® family contains all publications
that share one or more common priority
number(s). This includes continuations-in-part.
If PatBase® families become very large (100+
members), where possible, these are broken
down into sub-groups of simple families. A
simple family is one where all priority numbers
are shared.
12. Renewable Energy
“I’d put my money on the sun and solar energy.
What a source of power! I hope we don’t have to
wait until oil and coal run out before we tackle that.”
Thomas Edison
1/1/2024
13. Solar Energy
1/1/2024
• A general patent search was conducted for solar energy with a publication date
>= 2018 through late 2023.
• Focus on the International Classification Code
F24S SOLAR HEAT COLLECTORS; SOLAR HEAT SYSTEMS
• The search retrieved over 10,000 patent families.
18. Solar
Energy
Solar Heat
Collectors;
Solar Heat
Systems
1/1/2024
Keyword Tree Clustering
- Up to 2,500 documents (families) of over 10,000 families have been selected (contain
appropriate data), and are contained in these clusters.
- The clustering feature groups and creates 'clusters', but not every family will fit into a
cluster. The algorithm also doesn't create clusters that contain only one family.
20. Solar Energy
• IPC code definitions:
o F24S Solar heat collectors; solar heat systems
o F24S10/70 Solar heat collectors using working fluids, the working fluids being conveyed through tubular
absorbing conduits
o F24S20/40 Solar heat collectors specially adapted for particular uses or environments; Solar heat collectors
combined with other heat sources, e.g. using electrical heating or heat from ambient air
o F24S30/425 Arrangements for moving or orienting solar heat collector modules [2018.01]; Horizontal axis
[2018.01]
o H02S20/30 Supporting structures for PV modules; Supporting structures being movable or adjustable, e.g. for
angle adjustment
1/1/2024
21. Solar Energy, Solar Heat Systems
The over 10,000 records are reduced to around 992 patent families.
1/1/2024
Focus on patents
containing IPC
codes for
structures for PV
modules
(H02S20/30)
Solar heat collector
codes, (F24S20/40 or
F24S30/425 or
F24S10/70)
~992
24. Solar
Energy
Solar Heat
Collectors;
Solar Heat
Systems; PV
structures
1/1/2024
IPC code subgroup correlation (~ 992 families)
• F24S30/425 Arrangements for moving or orienting solar heat collector modules
[2018.01]; Horizontal axis [2018.01]
• H02S20/30 Supporting structures for PV modules; Supporting structures being
movable or adjustable, e.g. for angle adjustment
26. Solar
Energy
Solar Heat
Collectors;
Solar Heat
Systems; PV
structures
1/1/2024
3D Topographical Landscape (992 patent families)
All 992 families have been used to generate this landscape.
Peaks:
-cell module
-photovoltaic
module
27. Solar Energy: Solar Heat Collectors; Solar Heat Systems;
PV structures
Of the 992 families, only one patent family
has a Technical Valuation of 89%.
• Technical
o Breadth of industries (# of IPC/CPCs)
o Breadth of citing IPC/CPCs
o Radicalness (#IPCs in backward
citations which are different from IPCs
of patent itself)
o Number of Related divisional,
continuations, CIP, priority US granted
patents
Probable Patent Assignee: NEXTRACKER
LLC
1/1/2024
28. Solar Energy: Normalize Data
• An approach to normalize the data is removing
patent families that only contain a China jurisdiction.
• Rerun the search.
• Analyze the results.
1/1/2024
29. Solar
Energy
Solar Heat
Collectors;
Solar Heat
Systems: PV
structures
1/1/2024
Jurisdictions
• Within the 992 patent families, remove records whereby the
family member only contains CN jurisdiction
• 43 patent family records to analyze
30. Wind
"As yet, the wind is an untamed, and
unharnessed force; and quite possibly one
of the greatest discoveries hereafter to be
made, will be the taming, and harnessing
of the wind.“ Abe Lincoln
31. Wind Energy
• A general patent search was conducted for wind power/energy with a publication date >= 2018
through late 2023.
o Greater than 100,000 patent families retrieved.
• Quickly focus results based on graphed IPC results:
o F03D WIND MOTORS
And either:
o G06Q Computing: information and communication
technology [ict] specially adapted for
administrative, commercial, financial, managerial
or supervisory purposes;
o H02 generation, conversion, or distribution of electric
power
o Result set 5607 patent families.
1/1/2024
33. Wind
Energy
1/1/2024
Top 10 Probably Patent Assignee (5,607 patent families)
Wind Motors
AND
Computing:
Information &
Communication
Conversion, Or
Distribution
36. Wind Energy
Focus results with IPC subgroups.
1,329 patent families
1/1/2024
F03D009/25; Adaptations of
wind motors for special use;
the apparatus producing heat;
the apparatus being an
electrical generator
H02S10/12 PV power plants;
Combinations of PV energy systems
with other systems for the generation
of electric a supplementary source
power: includinge of electric power,
e.g. hybrid diesel-PV energy systems
(combinations with gas-turbine plants;
Hybrid wind-PV energy systems
~1329
F03D009/11; Adaptations of
wind motors for special use;
Combinations of wind motors
with apparatus storing energy;
storing electrical energy
38. Wind
Energy
1/1/2024
3D Topographical Landscape (1,329 patent families)
Peaks:
-Wind Energy
-Cell Module
-Power Generation
Wind Motors
AND
Conversion, Or
Distribution; Hybrid
wind-PV energy
systems
39. Wind Energy: Wind motors or hybrid PV-Wind Energy Systems
Of the 1,329 families, only one patent family
has a Technical Valuation of 67%.
• Technical
• Breadth of industries (# of IPC/CPCs)
• Breadth of citing IPC/CPCs
• Radicalness (#IPCs in backward
citations which are different from IPCs
of patent itself)
• Number of Related divisional,
continuations, CIP, priority US granted
patents
Probable Patent Assignee: MOIXA ENERGY
HOLDINGS LTD
1/1/2024
40. Wind Energy: Normalize Data
• An approach to normalize the data is removing
patent families that only contain a China jurisdiction.
• Rerun the search.
• Analyze the results.
1/1/2024
41. 1/1/2024
Jurisdictions
• Remove CN as only family member from 1,329 set:
• 162 patent family records to analyze
Wind
Energy
Wind Motors
AND
Conversion, Or
Distribution; Hybrid
wind-PV energy
systems
43. Hydropower
1/1/2024
• Hydropower currently accounts for 28.7% of total U.S. renewable electricity
generation and about 6.2% of total U.S. electricity generation. In fact, all but
two states (Delaware and Mississippi) use hydropower for electricity, some
more than others. (ENERGY EFFICIENCY & RENEWABLE ENERGY, an
office of the U.S. Department of Energy)1
• In 2020 about 66% of the state of Washington’s electricity came from
hydropower.
44. Hydropower
1/1/2024
• A general patent search was conducted for hydropower energy with a
publication date >= 2018 through late 2023 and choose certain IPC
classification codes to narrow the ~30,000 patent family result set.
• Similar to solar power and wind energy the greatest number of patents per
jurisdiction was China. However, Russia had the next largest level of patents
in this hydropower technology space.
45. Hydropower
1/1/2024
• The greater than ~30,000 patent family result set from initial search was
narrowed to Hydraulic engineering for water power plants as well as wave or
tidal energy.
• The narrowing of results was accomplished using IPC classifications
• E02B9 = Hydraulic engineering for water power plants
• F03B13/12 or F03B13/14 or F03B13/16 or F03B13/18 or F03B13/20 or F03B13/22 or
F03B13/24= wave or tidal energy
46. Hydropower: Wave or Tidal
1/1/2024
• F03B 13/12 characterised by using wave or tide energy
• F03B 13/14 using wave energy
• F03B 13/16 using the relative movement between a wave-operated member and
another member
• F03B 13/18 wherein the other member is fixed, at least at one point, with respect to
the sea bed or shore
• wherein both members are movable relative to the sea bed or shore
• F03B 13/22 using the flow of water resulting from wave movements, e.g. to drive a
hydraulic motor or turbine
• F03B 13/24 to produce a flow of air, e.g. to drive an air turbine [2006.01]
• F03B 13/26 using tide energy
48. Hydropower
1/1/2024
Timeline (4,215 patent families)
Hydraulic
engineering for
water power plants
Wave or tidal
energy
Large group of patents in 2021, most assigned to Zhuravlev
Valerievich.
50. Hydropower
1/1/2024
Correlation of IPC codes (4,215 patent families)
Hydraulic
engineering for
water power plants
Wave or tidal
energy
- E02B9/00 Water-power plants
- F03B13/00 Adaptations of machines or engines for special use; Combinations of
machines or engines with driving or driven apparatus.
- most assigned to Zhuravlev Valerievich
52. “There is an urgent need to stop subsidizing the fossil fuel industry,
dramatically reduce wasted energy, and significantly shift our power
supplies from oil, coal, and natural gas to wind, solar, geothermal, and
other renewable energy sources.” Bill McKibben
1/1/2024
Geothermal
53. Geothermal
1/1/2024
• A general patent search was conducted for geothermal energy with a
publication date >= 2018 through late 2023 and retrieved over 10,000 patent
families.
• Similar to Solar, Wind and Hydropower, China has the most patent families in
the technology area.
55. Geothermal
1/1/2024
Top 10 IPC subclassifications
- Focus on IPC subclass, F24T :Geothermal Collectors, Geothermal
Systems which reduce the over 10,000 results to 2,679 patent families.
56. Geothermal
1/1/2024
Top 10 IPC subgroups
F24T
:Geothermal
Collectors,
Geothermal
Systems
- IPC subgroups for the 2,679 patent families.
57. Geothermal
1/1/2024
Top 10 IPC Subgroup Descriptions
F24T
:Geothermal
Collectors,
Geothermal
Systems
F24T10/20 Geothermal Collectors: using underground water as working fluid; using
working fluid injected directly into the ground, e.g. using injection wells and recovery wells
F24T10/00 Geothermal Collectors:
F24T10/10 with circulation of working fluids through underground channels, the working
fluids not coming into direct contact with the ground
F24T10/13 using tube assemblies suitable for insertion into boreholes in the ground, e.g.
geothermal probe
F24T10/15 :using tubes assembled with connectors or with return headers
F24T10/17 using bent tubes; using tubes closed at one end, i.e. return-type tubes
F24T50/00 geothermal systems (for producing mechanical power from geothermal energy
F25B30/06 Heat Pump:
characterised by the source of low potential heat
F24F5/00 Air-conditioning systems or apparatus not covered by group
59. Geothermal
1/1/2024
Top 10 IPC subgroup by Probable Assignees
F24T
:Geothermal
Collectors,
Geothermal
Systems
- The majority were Chinese based companies and there is no
dominant assignee.
- 2,679 patent families
62. Geothermal: Normalize Data
• An approach to normalize the data is removing
patent families that only contain a China jurisdiction.
• Rerun the search.
• Analyze the results.
1/1/2024
63. 1/1/2024
Jurisdictions
• Remove CN as only family member from 2,679 patent family
set:
• 761 patent family records to analyze
Geothermal
F24T :Geothermal
Collectors,
Geothermal Systems
64. "If you're using first-class land for biofuels,
then you're competing with the growing of
food. And so you're actually spiking food
prices by moving energy production into
agriculture." Bill Gates
Biofuel
1/1/2024
65. Biofuel
1/1/2024
• A general patent search was conducted on biofuel with a publication date >=
2018 through late 2023 and retrieved over 13,858 patent families.
• “Unlike other renewable energy sources, biomass can be converted directly
into liquid fuels, called "biofuels," to help meet transportation fuel needs. The
two most common types of biofuels in use today are ethanol and biodiesel,
both of which represent the first generation of biofuel technology.”1
67. Biofuel
1/1/2024
• Focus the search on IPC subgroups C10L1/02 or C10L5/44 >= 2018 through
late 2023 and obtain 2,669 patent families
• C10L1/02 Fuels not otherwise provided for; natural gas; synthetic natural gas obtained by
processes not covered by subclasses c10g or c10k; liquefied petroleum gas; use of
additives to fuels or fires; fire-lighters; liquid carbonaceous fuels; essentially based on
components consisting of carbon, hydrogen, and oxygen only
• C10L5/44 Solid fuels; essentially based on materials of non-mineral origin; on vegetable
substances
72. Biofuel : Normalize Data
• An approach to normalize the data is removing
patent families that only contain a China jurisdiction.
• Rerun the search.
• Analyze the results.
1/1/2024
73. 1/1/2024
Jurisdictions
• Remove CN as only family member from 2,669 patent family
set:
• 991 patent family records to analyze
Biofuel
Non synthetic liquid
carbonaceous fuels
Solid fuels, vegetable
substances
74. Summary of Data
Examined in this
Presentation
- Renewable energy is only a small fraction of energy
compared to fossil fuels.
-The data obtained for the analysis was from simple searches
and was not derived from an exhaustive search.
- During the time period 2019-2023, China, overall,
dominates the number of patent families in renewable energy
areas examined in this presentation.
- Wind energy in the wind motors distribution of electrical
energy has seen an increase in patent counts up until 2022
followed by a a decline in 2023.
- Biofuels has seen in a decline in patent counts since 2022.
- A large number of patents in the Hydropower hydraulic
engineering for water power plants as well as wave or tidal
energy was attributed to Russia (specifically to Zhuravlev
Valerievich in Year 2021)
1/1/2024
75. Thank you
1/1/2024
Robert (Bob) March works as a patent analyst for a
private firm that conducts patent and literature searching
for many fortune 500 companies and top IP law firms.
Bob holds a Qualification Certificate as a Qualified
Patent Information Professional and a Certificate in
Competitive Intelligence from Drexel University. Bob
began his career indexing patents for IFI Plenum
company. After a year of indexing, Bob began an over
30-year career with the DuPont company. While at
DuPont, Bob began as an agricultural synthesis chemist
prior to embarking on 22 years in information science
mainly as a patent analyst in the Central Research and
Development and Legal Departments.
Editor's Notes
1. PatBase: fulltext searchable database, wide country coverage, see https://www.patbase.com/coverageReport/public/index.php
atac=(solar wf1 energy) and sc=F24S and pd>20181231 (atac= title/abstracts/claims which include machine translation of non-English text), SC= search of both IPC or CPC classifications)
PatBase Keyword Clustered Tree is an implementation of a hierarchical Voronoi Treemaps. With animated transitions, zooming, searching, and nested meta data available via a split screen view.
The clustered tree allows you to click and zoom in on a cluster and zoom in further to nodes (sub-clusters).
Up to 2,500 documents (families) have been selected (contain appropriate data), and are contain in these clusters.
This is related to the way that the clustering feature works; it groups and creates 'clusters', but not every family will fit into a cluster. The algorithm also doesn't create clusters that contain only one family. So, since many of the patent families contain only a CN jurisdiction, many CN documents may not get considered.
atac=(solar wf1 energy) and sc=F24S and sc=(F24S20/40 or F24S30/425 or F24S10/70) and sc=H02S20/30 and pd>20181231 992 families
PatBase Keyword Clustered Tree is an implementation of a hierarchical Voronoi Treemaps. With animated transitions, zooming, searching, and nested meta data available via a split screen view.
The clustered tree allows you to click and zoom in on a cluster and zoom in further to nodes (sub-clusters).
Up to 2,500 documents (families) have been selected (contain appropriate data), and are contain in these clusters.
PatBase Keyword Clustered Tree is an implementation of a hierarchical Voronoi Treemaps. With animated transitions, zooming, searching, and nested meta data available via a split screen view.
The clustered tree allows you to click and zoom in on a cluster and zoom in further to nodes (sub-clusters).
Up to 10,000 documents (families) have been selected (contain appropriate data), and are contain in these clusters.
Sometimes families do not contain an appropriate abstract, in which case they cannot be used by the clustering software; in addition, there is an upper limit for then number of families that may be clustered in which case no more than the maximum allowed (for the current analysis depth) will be taken into account.
atac=(solar wf1 energy) and sc=F24S and sc=(F24S20/40 or F24S30/425 or F24S10/70) and sc=H02S20/30 and pd>20181231
Not
atac=(solar wf1 energy) and sc=(F24S20/40 or F24S30/425 or F24S10/70) and sc=H02S20/30 and pd>20181231 and UE<2347 and cc=cn and nc=1
43 results
atac=(wind wf1 (power or energy)) and pd>20181231
101,315
atac=(wind wf1 (power or energy)) and sc=F03D and sc=(H02 or G06) and pd>20181231
5607 results
atac=(wind wf1 (power or energy)) and sc=F03D and sc=(H02 or G06) and pd>20181231
5607 results
atac=(wind wf1 (power or energy)) and sc=F03D and sc=(H02 or G06) and pd>20181231
5607 results
atac=(wind wf1 (power or energy)) and sc=F03D and sc=(H02 or G06) and pd>20181231
5607 results
atac=(wind wf1 (power or energy)) and sc=F03D and sc=(H02 or G06) and pd>20181231
5607 results
atac=(wind wf1 (power or energy)) and sc=(F03D9/25 or F03D9/11) and sc=H02S10/12 and pd>20181231
1329 patent families
atac=(wind wf1 (power or energy)) and sc=(F03D9/25 or F03D9/11) and sc=H02S10/12 and pd>20181231
1329 patent families
PatBase Patent Valuation Score (PVS) is a bespoke in-house system that attempts to value individual patent publications1 based on a comprehensive and purely analytical algorithm. That is, it looks at the numerical values that represent any publication in order to apply an estimated valuation.
PatBase calculates an "estimated value" (based on over 40 metrics, over 4 categories, plus a 5th Overall category) for each publication compared to a conceptual patent with the "maximum" score.
atac=(wind wf1 (power or energy)) and sc=(F03D9/25 or F03D9/11) and sc=H02S10/12 and pd>20181231 and UE<2348
not
atac=(wind wf1 (power or energy)) and sc=(F03D9/25 or F03D9/11) and sc=H02S10/12 and pd>20181231 and UE<2348 and cc=cn and nc=1
162 answers
atac=(hydropower or (hydro wf1 electric*) or ((water or hydroelectric or tidal) wf1 power) or (tidal wf1 energy)) and sc=(E02B9 or F03B13/12 or F03B13/14 or F03B13/16 or F03B13/18 or F03B13/20 or F03B13/22 or F03B13/24) and pd>20181231
4215 families
atac=(hydropower or (hydro wf1 electric*) or ((water or hydroelectric or tidal) wf1 power) or (tidal wf1 energy)) and sc=(E02B9 or F03B13/12 or F03B13/14 or F03B13/16 or F03B13/18 or F03B13/20 or F03B13/22 or F03B13/24) and pd>20181231
4215 families
atac=(hydropower or (hydro wf1 electric*) or ((water or hydroelectric or tidal) wf1 power) or (tidal wf1 energy)) and sc=(E02B9 or F03B13/12 or F03B13/14 or F03B13/16 or F03B13/18 or F03B13/20 or F03B13/22 or F03B13/24) and pd>20181231
4215 families
atac=(hydropower or (hydro wf1 electric*) or ((water or hydroelectric or tidal) wf1 power) or (tidal wf1 energy)) and sc=(E02B9 or F03B13/12 or F03B13/14 or F03B13/16 or F03B13/18 or F03B13/20 or F03B13/22 or F03B13/24) and pd>20181231
4215 families
atac=(hydropower or (hydro wf1 electric*) or ((water or hydroelectric or tidal) wf1 power) or (tidal wf1 energy)) and sc=(E02B9 or F03B13/12 or F03B13/14 or F03B13/16 or F03B13/18 or F03B13/20 or F03B13/22 or F03B13/24) and pd>20181231
4215 families
atac=(hydropower or (hydro wf1 electric*) or ((water or hydroelectric or tidal) wf1 power) or (tidal wf1 energy)) and sc=(E02B9 or F03B13/12 or F03B13/14 or F03B13/16 or F03B13/18 or F03B13/20 or F03B13/22 or F03B13/24) and pd>20181231
4215 families
atac=(hydropower or (hydro wf1 electric*) or ((water or hydroelectric or tidal) wf1 power) or (tidal wf1 energy)) and sc=(E02B9 or F03B13/12 or F03B13/14 or F03B13/16 or F03B13/18 or F03B13/20 or F03B13/22 or F03B13/24) and pd>20181231
4215 families
atac=(hydropower or (hydro wf1 electric*) or ((water or hydroelectric or tidal) wf1 power) or (tidal wf1 energy)) and sc=(E02B9 or F03B13/12 or F03B13/14 or F03B13/16 or F03B13/18 or F03B13/20 or F03B13/22 or F03B13/24) and pd>20181231
4215 families
Atac=(Geothermal or (geo wf1 thermal)) and pd>20181231
10567
Atac=(Geothermal or (geo wf1 thermal)) and pd>20181231
10567
Atac=(Geothermal or (geo wf1 thermal)) and pd>20181231
10567
atac=(Geothermal or (geo wf1 thermal)) and sc=F24T and pd>20181231
2679
atac=(Geothermal or (geo wf1 thermal)) and sc=F24T and pd>20181231
2679
atac=(Geothermal or (geo wf1 thermal)) and sc=F24T and pd>20181231
2679
atac=(Geothermal or (geo wf1 thermal)) and sc=F24T and pd>20181231
2679
It's also important to note that this is a conceptual analysis, rather than a technical one. This is related to the way that the clustering feature works; it groups and creates 'clusters', but not every family will fit into a cluster. The algorithm also doesn't create clusters that contain only one family. So, since many of the patent families contain only a CN jurisdiction, many CN documents may not get considered.
atac=(Geothermal or (geo wf1 thermal)) and sc=F24T and pd>20181231 and UE<2350
not
atac=(Geothermal or (geo wf1 thermal)) and sc=F24T and pd>20181231 and UE<2350 and cc=cn and nc=1
761 results
atac=(biofuel% or (bio wf1 fuel%) or biodiesel or (biomass w3 fuel%)) and pd>20181231
13858
1. https://www.energy.gov/eere/bioenergy/biofuel-basics#:~:text=Unlike%20other%20renewable%20energy%20sources,first%20generation%20of%20biofuel%20technology.
atac=(biofuel% or (bio wf1 fuel%) or biodiesel or (biomass w3 fuel%)) and pd>20181231
13858
atac=(biofuel% or (bio wf1 fuel%) or biodiesel or (biomass w3 fuel%)) and sc=(C10L1/02 or C10L5/44) and pd>20181231
2669 families
atac=(biofuel% or (bio wf1 fuel%) or biodiesel or (biomass w3 fuel%)) and sc=(C10L1/02 or C10L5/44) and pd>20181231
2669 families
atac=(biofuel% or (bio wf1 fuel%) or biodiesel or (biomass w3 fuel%)) and sc=(C10L1/02 or C10L5/44) and pd>20181231
2669 families
atac=(biofuel% or (bio wf1 fuel%) or biodiesel or (biomass w3 fuel%)) and sc=(C10L1/02 or C10L5/44) and pd>20181231
2669 families
atac=(biofuel% or (bio wf1 fuel%) or biodiesel or (biomass w3 fuel%)) and sc=(C10L1/02 or C10L5/44) and pd>20181231
2669 families
It's also important to note that this is a conceptual analysis, rather than a technical one. This is related to the way that the clustering feature works; it groups and creates 'clusters', but not every family will fit into a cluster. The algorithm also doesn't create clusters that contain only one family. So, since many of the patent families contain only a CN jurisdiction, many CN documents may not get considered.
atac=(biofuel% or (bio wf1 fuel%) or biodiesel or (biomass w3 fuel%)) and sc=(C10L1/02 or C10L5/44) and pd>20181231 and UE<2350
2669 families
not
atac=(biofuel% or (bio wf1 fuel%) or biodiesel or (biomass w3 fuel%)) and sc=(C10L1/02 or C10L5/44) and pd>20181231 and UE<2350 and cc=cn and nc=1
991 results